BR112015018905B1 - Método de operação de recurso de ativação por voz, mídia de armazenamento legível por computador e dispositivo eletrônico - Google Patents
Método de operação de recurso de ativação por voz, mídia de armazenamento legível por computador e dispositivo eletrônico Download PDFInfo
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/22—Interactive procedures; Man-machine interfaces
- G10L17/24—Interactive procedures; Man-machine interfaces the user being prompted to utter a password or a predefined phrase
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
- G06F3/167—Audio in a user interface, e.g. using voice commands for navigating, audio feedback
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/06—Transformation of speech into a non-audible representation, e.g. speech visualisation or speech processing for tactile aids
- G10L21/16—Transforming into a non-visible representation
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
- G10L25/84—Detection of presence or absence of voice signals for discriminating voice from noise
Abstract
MÉTODO DE OPERAÇÃO DE RECURSO DE ATIVAÇÃO POR VOZ, MÍDIA DE ARMAZENAMENTO LEGÍVEL POR COMPUTADOR E DISPOSITIVO ELETRÔNICO. A presente revelação refere-se a um método de operação de um recurso de ativação por voz (500, 600, 700). Em algumas implementações, o método (500, 600, 700) é executado em um dispositivo eletrônico (104, 800, 900, 1000) que inclui um ou mais processadores (204) e instruções de armazenamento em memória (202) para execução pelo um ou mais processadores (204). O método (500, 600, 700) inclui receber (502) uma entrada de som. A entrada de som pode corresponder a uma palavra ou a uma frase pronunciadas, ou uma porção das mesmas. O método (500, 600, 700) inclui determinar (506) se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado, como uma voz humana. O método (500, 600, 700) inclui, mediante a determinação de que ao menos uma porção da entrada de som corresponde ao tipo predeterminado, determinar (510) se a entrada de som inclui conteúdo predeterminado, como uma palavra ou uma frase de ativação predeterminada. O método (500, 600, 700) inclui, ainda, mediante a determinação de que a entrada de som inclui o conteúdo predeterminado, iniciar (514) um serviço baseado em fala, como um assistente digital baseado em voz.
Description
[0001] Este pedido reivindica o benefício do pedido provisório de patente U.S. n° 61/762.260, depositado em 7 de fevereiro de 2013, intitulado VOICE TRIGGER FOR A DIGITAL ASSISTANT, o qual está aqui incorporado, por referência, em sua totalidade para todos os propósitos.
[0002] As implementações apresentadas se referem, de modo geral, a assistentes digitais e, mais especificamente, a um método e a um sistema de ativação de um assistente digital por voz.
[0003] Recentemente, assistentes digitais baseados em voz, como o SIRI da Apple, foram introduzidos no mercado para a execução de várias tarefas como buscas e navegação na Web. Uma vantagem de tais assistentes digitais baseados em voz é que os usuários podem interagir com um dispositivo sem o uso das mãos e sem manusear ou sequer olhar para o dispositivo. A operação sem o uso das mãos pode ser particularmente benéfica quando uma pessoa não pode ou não deve manusear fisicamente um dispositivo, por exemplo quando ela está dirigindo. Entretanto, para iniciar o assistente baseado em voz, os usuários precisam tipicamente pressionar um botão ou selecionar um ícone em uma tela sensível ao toque. Essa interação tátil impede a experiência de uma operação sem o uso das mãos. Consequentemente, seria vantajoso fornecer um método e um sistema de ativação de um assistente digital baseado em voz (ou outro serviço baseado em fala) que use uma entrada de voz e não uma entrada tátil.
[0004] A ativação de um assistente baseado em voz por meio de uma entrada de voz exige o monitoramento de um canal de áudio para detectar a entrada de voz. Esse monitoramento consome energia elétrica, que é um recurso limitado em dispositivos portáteis ou de mão que são funcionam com bateria e nos quais tais assistentes digitais baseados em voz são frequentemente executados. Dessa forma, seria benéfico fornecer um recurso de ativação por voz de baixo consumo de energia que possa ser usado para iniciar serviços baseados em voz ou em fala em um dispositivo.
[0005] Consequentemente, existe a necessidade de um recurso de ativação por voz de baixo consumo de energia que possa fornecer uma funcionalidade de ativação por voz do tipo "sempre à escuta" que não consuma excessivamente os limitados recursos de energia. As implementações descritas a seguir apresentam sistemas e métodos para iniciar um assistente baseado em voz que usa um recurso de ativação por voz em um dispositivo eletrônico. As interações com um assistente digital baseado em voz (ou outros serviços baseados em fala, como um serviço de transcrição de fala para texto) são, com frequência, iniciadas quando um usuário pressiona um recurso de uso ("affordance") (por exemplo, um botão ou um ícone) em um dispositivo para ativar o assistente digital, seguido de uma resposta do dispositivo em fornecer ao usuário alguma indicação de que o assistente digital está ativo e "ouvindo", como uma indicação luminosa, uma indicação sonora (por exemplo, um bipe), ou uma saída vocalizada (por exemplo, "o que eu posso fazer por você?"). Conforme descrito aqui, podem ser implementados também recursos de ativação por voz de modo que sejam iniciados em resposta a uma palavra, frase ou som predeterminado, e que não exijam uma interação física do usuário. Por exemplo, um usuário pode ser capaz de ativar um assistente digital SIRI em um IPhone (ambos comercializados pela Apple Inc., o cessionário do presente pedido) dizendo a frase "Ei, SIRI." Em resposta, o dispositivo emite um bipe, um som ou uma saída de fala (por exemplo, "o que posso fazer por você?") indicando ao usuário que o modo de escuta está ativo. Consequentemente, o usuário pode iniciar uma interação com o assistente digital sem precisar pressionar ou tocar fisicamente o dispositivo que fornece a funcionalidade de assistente digital.
[0006] Uma técnica para iniciar um serviço baseado em fala utilizando ativação por voz é fazer com que o serviço baseado em fala ouça até o fim uma palavra, frase ou som de ativação predeterminado (sendo que qualquer um desses pode ser chamado aqui de "o som de ativação"). Todavia, a operação contínua do serviço baseado em fala (por exemplo, o assistente digital baseado em voz) exige recursos substanciais de processamento de áudio e alimentação por bateria. Para reduzir a energia consumida da funcionalidade de ativação por voz, várias técnicas podem ser empregadas. Em algumas implementações, o processador principal de um dispositivo eletrônico (isto é, um "processador de aplicativos") é mantido em um estado de baixo consumo ou não energizado enquanto um ou mais detectores de som que usam menos energia (por exemplo, porque não dependem do processador de aplicativos) permanecem ativos. (Em um estado de baixo consumo ou não energizado, um processador de aplicativos ou qualquer outro processador, programa ou módulo pode ser descrito como inativo ou em modo de espera.) Por exemplo, um detector de som de baixo consumo é usado para monitorar um canal de áudio quanto a um som de ativação mesmo quando o processador de aplicativos está inativo. Na presente descrição, esse detector de som é às vezes chamado de detector de som de ativação. Em algumas implementações, o detector é configurado para detectar sons, fonemas e/ou palavras específicos. O detector de som de ativação (incluindo os componentes de hardware e/ou de software) é projetado para reconhecer palavras, sons ou frases específicos, mas em geral não é capaz de, ou otimizado para, fornecer funcionalidade de conversão de fala para texto completa, uma vez que tais tarefas exigem recursos mais potentes de computação e de energia. Dessa forma, em algumas implementações, o detector de som de ativação reconhece se uma entrada de voz inclui um padrão predefinido (por exemplo, um padrão sônico correspondente às palavras "Ei, SIRI"), mas não consegue (ou não está configurado para) converter a entrada de voz em texto ou reconhecer uma quantidade significativa de outras palavras. Uma vez detectado o som de ativação, o assistente digital é colocado fora do modo de espera para que o usuário possa fornecer um comando de voz.
[0007] Em algumas implementações, o detector de som de ativação é configurado para detectar vários sons de ativação diferentes, como um conjunto de palavras, frases, sons e/ou combinações dos mesmos. O usuário pode, então, usar qualquer um desses sons para iniciar o serviço baseado em fala. Em um exemplo, um recurso de ativação por voz é previamente configurado para responder às frases "Ei, SIRI", "Acorde, SIRI", "Chamar meu assistente digital", ou "Olá, HAL, está me ouvindo, HAL?" Em algumas implementações, o usuário precisa selecionar um dos sons de ativação pré-configurados como o único som de ativação. Em algumas implementações, o usuário seleciona um subconjunto dos sons de ativação configurados previamente para poder iniciar o serviço baseado em fala com sons de ativação diferentes. Em algumas implementações, todos os sons de ativação pré-configurados permanecem sons de ativação válidos.
[0008] Em algumas implementações, é usado um outro detector de som de modo que mesmo o detector de som de ativação possa mantido em um modo de baixo consumo ou nenhum consumo durante a maior parte do tempo. Por exemplo, um detector de som de tipo diferente (por exemplo, um que use menos energia que o detector de som de ativação) é usado para monitorar um canal de áudio para determinar se a entrada de som corresponde a um certo tipo de som. Os sons são categorizados como "tipos" diferentes com base em certas características identificáveis dos sons. Por exemplo, sons do tipo "voz humana" têm certo conteúdo espectral, periodicidade, frequências fundamentais, etc. Outros tipos de sons (por exemplo, assobios, som de aplauso, etc.) têm características diferentes. Sons de tipos diferentes são identificados com o uso de técnicas de processamento de áudio e/ou sinais, conforme aqui descrito. Na presente descrição, esse detector de som é às vezes chamado de detector de tipo de som. Por exemplo, se uma frase de ativação predeterminada for "Ei, SIRI", o detector de tipo de som determinará se a entrada corresponde provavelmente à fala humana. Se o som de ativação não for uma voz humana, como um assobio, o detector de tipo de som determinará se a entrada de som corresponde provavelmente a um assobio. Quando o tipo de som apropriado é detectado, o detector de tipo de som inicia o detector de som de ativação para processar e/ou analisar adicionalmente o som. E devido ao fato de o detector de tipo de som exigir menos energia que o detector de som de ativação (por exemplo, por usar circuitos com menor demanda de energia e/ou algoritmos de processamento de áudio mais eficientes que o detector de som de ativação), a funcionalidade de ativação por voz consome ainda menos energia do que com um detector de som de ativação isoladamente.
[0009] Em algumas implementações, é usado ainda outro detector de som de modo que tanto o detector de tipo de som como o detector de som de ativação descritos acima possam ser mantidos em um modo de baixo consumo ou nenhum consumo pela maior parte do tempo. Por exemplo, um detector de som que usa menos energia que o detector de tipo de som é usado para monitorar um canal de áudio para determinar se uma entrada de som satisfaz uma condição predeterminada, como um limiar de amplitude (por exemplo, volume). Na presente descrição, esse detector de som pode ser chamado de detector de ruído. Quando detecta um som que satisfaz o limiar predeterminado, o detector de ruído inicia o detector de tipo de som para processar e/ou analisar adicionalmente o som. E devido ao fato de o detector de ruído exigir menos energia que o detector de tipo de som ou o detector de som de ativação (por exemplo, por usar circuitos com menor demanda de energia e/ou algoritmos de processamento de áudio mais eficientes), a funcionalidade de ativação por voz consome ainda menos energia que a combinação do detector de tipo de som e do detector de som de ativação sem o detector de ruído.
[0010] Em algumas implementações, qualquer um dentre os um ou mais detectores de som descritos acima são operados de acordo com um ciclo de trabalho, onde são alternados entre os estados "ativado" e "desativado". Isso ajuda a reduzir ainda mais o consumo de energia do recurso de ativação por voz. Por exemplo, em algumas implementações, o detector de ruído está "ativado" (isto é, monitorando ativamente um canal de áudio) durante 10 milissegundos, e "desativado" durante os 90 milissegundos seguintes. Dessa maneira, o detector de ruído permanece "desativado" 90% do tempo, mas ainda exibe efetivamente uma funcionalidade de detecção de ruído contínua. Em algumas implementações, as durações dos estados "ativado" e "desativado" dos detectores de som são selecionadas de modo que todos os detectores são ativados enquanto o som de ativação ainda está sendo inserido como dado. Por exemplo, para uma frase de ativação como "Ei, SIRI", os detectores de som podem ser configurados de modo que independentemente de onde no(s) ciclo(s) de trabalho a frase de ativação é iniciada, o detector de som de ativação será ativado a tempo de analisar uma quantidade suficiente da entrada. Por exemplo, o detector de som de ativação será ativado a tempo de receber, processar e analisar os sons "i SIRI", o que é suficiente para determinar que o som corresponde à frase de ativação. Em algumas implementações, as entradas de som são armazenadas na memória à medida que são recebidas e passadas para um detector a montante de modo que uma porção maior da entrada de som possa ser analisada. Consequentemente, mesmo que não seja iniciado até depois de a frase de ativação ter sido pronunciada, o detector de som de ativação ainda poderá analisar toda a frase de ativação gravada.
[0011] Algumas implementações fornecem um método de operação de um recurso de ativação por voz. O método é executado em um dispositivo eletrônico que inclui um ou mais processadores e instruções de armazenamento em memória para execução dos um ou mais processadores. O método inclui receber uma entrada de som. O método inclui adicionalmente determinar se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado. O método inclui, ainda, mediante a determinação de que ao menos uma porção da entrada de som corresponde ao tipo predeterminado, determinar se a entrada de som inclui conteúdo predeterminado. O método inclui, ainda, mediante a determinação de que a entrada de som inclui o conteúdo predeterminado, iniciar um serviço baseado em fala. Em algumas implementações, o serviço baseado em fala é um assistente digital baseado em voz. Em algumas implementações, o serviço baseado em fala é um serviço de transcrição.
[0012] Em algumas implementações, a determinação de se a entrada de som corresponde a um tipo de som predeterminado é executada por um primeiro detector de som, e a determinação de se a entrada de som inclui conteúdo predeterminado é executada por um segundo detector de som. Em algumas implementações, o primeiro detector de som consome menos energia durante o funcionamento do que o segundo detector de som. Em algumas implementações, o primeiro detector de som executa análise de sinais no domínio da frequência da entrada de som. Em algumas implementações, a determinação de se a entrada de som corresponde ao tipo de som predeterminado é executada mediante a determinação de que a entrada de som satisfaz uma condição predeterminada (por exemplo, conforme determinado por um terceiro detector de som, discutido abaixo).
[0013] Em algumas implementações, o primeiro detector de som monitora periodicamente um canal de áudio de acordo com um ciclo de trabalho. Em algumas implementações, o ciclo de trabalho inclui um tempo de ativação de cerca de 20 milissegundos, e um tempo de desativação de cerca de 100 milissegundos.
[0014] Em algumas implementações, o tipo predeterminado é uma voz humana e o conteúdo predeterminado é uma ou mais palavras. Em algumas implementações, a determinação de se ao menos uma porção da entrada de som corresponde ao tipo de som predeterminado inclui determinar se ao menos uma porção da entrada de som inclui características de frequência de uma voz humana.
[0015] Em algumas implementações, o segundo detector de som é iniciado em resposta a uma determinação pelo primeiro detector de som de que a entrada de som corresponde ao tipo predeterminado. Em algumas implementações, o segundo detector de som é operado por ao menos uma quantidade de tempo predeterminada após uma determinação pelo primeiro detector de som de que a entrada de som corresponde ao tipo predeterminado. Em algumas implementações, a quantidade de tempo predeterminada corresponde à duração do conteúdo predeterminado.
[0016] Em algumas implementações, o conteúdo predeterminado é um ou mais fonemas predeterminados. Em algumas implementações, os um ou mais fonemas predeterminados constituem ao menos uma palavra.
[0017] Em algumas implementações, o método inclui, antes da determinação de se a entrada de som corresponde a um tipo de som predeterminado, determinar se a entrada de som satisfaz uma condição predeterminada. Em algumas implementações, a condição predeterminada é um limiar de amplitude. Em algumas implementações, a determinação de se a entrada de som satisfaz uma condição predeterminada é executada por um terceiro detector de som, sendo que o terceiro detector de som consome menos energia durante o funcionamento do que o primeiro detector de som. Em algumas implementações, o terceiro detector de som monitora periodicamente um canal de áudio de acordo com um ciclo de trabalho. Em algumas implementações, o ciclo de trabalho inclui um tempo de ativação de cerca de 20 milissegundos, e um tempo de desativação de cerca de 500 milissegundos. Em algumas implementações, o terceiro detector de som executa análise de sinais no domínio do tempo da entrada de som.
[0018] Em algumas implementações, o método inclui armazenar na memória ao menos uma porção da entrada de som, e fornecer a porção da entrada de som ao serviço baseado em fala quando este é iniciado. Em algumas implementações, a porção da entrada de som é armazenada na memória com o uso de acesso direto à memória.
[0019] Em algumas implementações, o método inclui determinar se a entrada de som corresponde à voz de um usuário específico. Em algumas implementações, o serviço baseado em fala é iniciado mediante a determinação de que a entrada de som inclui o conteúdo predeterminado e que a entrada de som corresponde à voz do usuário específico. Em algumas implementações, o serviço baseado em fala é iniciado em um modo de acesso limitado mediante a determinação de que a entrada de som inclui o conteúdo predeterminado e que a entrada de som não corresponde à voz do usuário específico. Em algumas implementações, o método inclui, mediante a determinação de que a entrada de som corresponde à voz do usuário específico, emitir uma mensagem de voz que inclui o nome do usuário específico.
[0020] Em algumas implementações, determinar se a entrada de som inclui conteúdo predeterminado inclui comparar uma representação da entrada de som com uma representação de referência, e determinar que a entrada de som inclui o conteúdo predeterminado quando a representação da entrada de som corresponde à representação de referência. Em algumas implementações, uma correspondência será determinada se a representação da entrada de som corresponder à representação de referência com um nível de confiança predeterminado. Em algumas implementações, o método inclui receber uma pluralidade de entradas de som que inclui a entrada de som; e ajustar iterativamente a representação de referência, usando as respectivas entradas da pluralidade de entradas de som, em resposta à determinação de que as respectivas entradas de som incluem o conteúdo predeterminado.
[0021] Em algumas implementações, o método inclui determinar se o dispositivo eletrônico está em uma orientação predeterminada, e, mediante a determinação de que o dispositivo eletrônico está efetivamente na orientação predeterminada, ativar um modo predeterminado do recurso de ativação por voz. Em algumas implementações, a orientação predeterminada corresponde a uma tela de exibição do dispositivo em uma posição substancialmente horizontal e voltada para baixo, e o modo predeterminado é um modo de espera. Em algumas implementações, a orientação predeterminada corresponde a uma tela de exibição do dispositivo em uma posição substancialmente horizontal e voltada para cima, e o modo predeterminado é um modo de escuta.
[0022] Algumas implementações fornecem um método de operação de um recurso de ativação por voz. O método é executado em um dispositivo eletrônico que inclui um ou mais processadores e instruções de armazenamento em memória para execução dos um ou mais processadores. O método inclui operar um recurso de ativação por voz em um primeiro modo. O método inclui, ainda, determinar se o dispositivo eletrônico está em um espaço substancialmente fechado mediante a detecção de que um ou mais dentre um microfone e uma câmera do dispositivo eletrônico estão obstruídos. O método inclui, ainda, mediante a determinação de que o dispositivo eletrônico está em um espaço substancialmente fechado, alternar o recurso de ativação por voz para um segundo modo. Em algumas implementações, o segundo modo é um modo de espera.
[0023] Algumas implementações fornecem um método de operação de um recurso de ativação por voz. O método é executado em um dispositivo eletrônico que inclui um ou mais processadores e instruções de armazenamento em memória para execução dos um ou mais processadores. O método inclui determinar se o dispositivo eletrônico está em uma orientação predeterminada, e, mediante a determinação de que o dispositivo eletrônico está na orientação predeterminada, ativar um modo predeterminado de um recurso de ativação por voz. Em algumas implementações, a orientação predeterminada corresponde a uma tela de exibição do dispositivo em uma posição substancialmente horizontal e voltada para baixo, e o modo predeterminado é um modo de espera. Em algumas implementações, a orientação predeterminada corresponde a uma tela de exibição do dispositivo em uma posição substancialmente horizontal e voltada para cima, e o modo predeterminado é um modo de escuta.
[0024] De acordo com algumas implementações, um dispositivo eletrônico inclui uma unidade receptora de som configurada para receber entrada de som; e uma unidade de processamento acoplada à unidade receptora de som. A unidade de processamento é configurada para determinar se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado; mediante a determinação de que ao menos uma porção da entrada de som corresponde ao tipo predeterminado, determinar se a entrada de som inclui conteúdo predeterminado; e, mediante a determinação de que a entrada de som inclui o conteúdo predeterminado, iniciar um serviço baseado em fala. Em algumas implementações, a unidade de processamento é configurada adicionalmente para, antes da determinação de se a entrada de som corresponde a um tipo de som predeterminado, determinar se a entrada de som satisfaz uma condição predeterminada. Em algumas implementações, a unidade de processamento é configurada adicionalmente para determinar se a entrada de som corresponde à voz de um usuário específico.
[0025] De acordo com algumas implementações, um dispositivo eletrônico inclui uma unidade de ativação por voz configurada para operar um recurso de ativação por voz em um primeiro modo de uma pluralidade de modos; e uma unidade de processamento acoplada à unidade de ativação por voz. Em algumas implementações, a unidade de processamento é configurada para: determinar se o dispositivo eletrônico está em um espaço substancialmente fechado mediante a detecção de que um ou mais dentre um microfone e uma câmera do dispositivo eletrônico estão obstruídos; e, mediante a determinação de que o dispositivo eletrônico está em um espaço substancialmente fechado, alternar o recurso de ativação por voz para um segundo modo. Em algumas implementações, a unidade de processamento é configurada para determinar se o dispositivo eletrônico está em uma orientação predeterminada; e, mediante a determinação de que o dispositivo eletrônico está na orientação predeterminada, ativar um modo predeterminado de um recurso de ativação por voz.
[0026] De acordo com algumas implementações, é fornecida uma mídia de armazenamento legível por computador (por exemplo, uma mídia de armazenamento legível por computador não temporária), sendo que a mídia de armazenamento legível por computador armazena um ou mais programas para execução por um ou mais processadores de um dispositivo eletrônico, sendo que os um ou mais programas incluem instruções para executar qualquer um dos métodos aqui descritos.
[0027] De acordo com algumas implementações, é fornecido um dispositivo eletrônico (por exemplo, um dispositivo eletrônico portátil) que compreende meios para executar qualquer um dos métodos aqui descritos.
[0028] De acordo com algumas implementações, é fornecido um dispositivo eletrônico (por exemplo, um dispositivo eletrônico portátil) que compreende uma unidade de processamento configurada para executar qualquer um dos métodos aqui descritos.
[0029] De acordo com algumas implementações, é fornecido um dispositivo eletrônico (por exemplo, um dispositivo eletrônico portátil) que compreende um ou mais processadores e memória armazenando um ou mais programas para execução dos um ou mais processadores, sendo que os um ou mais programas incluem instruções para executar qualquer um dos métodos aqui descritos.
[0030] De acordo com algumas implementações, é fornecido um aparelho de processamento de informações para uso em um dispositivo eletrônico, sendo que o aparelho de processamento de informações compreende meios para executar qualquer um dos métodos aqui descritos.
[0031] A Figura 1 é um diagrama de blocos ilustrando um ambiente no qual um assistente digital funciona de acordo com algumas implementações.
[0032] A Figura 2 é um diagrama de blocos ilustrando um sistema de cliente de assistente digital de acordo com algumas implementações.
[0033] A Figura 3A é um diagrama de blocos ilustrando um sistema de assistente digital independente ou um sistema de servidor de assistente digital de acordo com algumas implementações.
[0034] A Figura 3B é um diagrama de blocos ilustrando funções do assistente digital mostrado na Figura 3A de acordo com algumas implementações.
[0035] A Figura 3C é um diagrama de rede ilustrando uma porção de uma ontologia de acordo com algumas implementações.
[0036] A Figura 4 é um diagrama de blocos ilustrando componentes de um sistema de ativação por voz, de acordo com algumas implementações.
[0037] As Figuras 5 a 7 são fluxogramas ilustrando métodos de operação de um sistema de ativação por voz, de acordo com algumas implementações.
[0038] As Figuras 8 a 9 são diagramas de blocos funcionais de dispositivos eletrônicos de acordo com algumas modalidades.
[0039] Números de referência similares referem-se a partes correspondentes em todos os desenhos.
[0040] A Figura 1 é um diagrama de blocos de um ambiente operacional 100 de um assistente digital de acordo com algumas implementações. Os termos "assistente digital", "assistente virtual", "assistente inteligente automatizado", "assistente digital baseado em voz" e/ou "assistente digital automático" referem-se a qualquer sistema de processamento de informações capaz de interpretar entrada de linguagem natural em forma falada e/ou textual para deduzir a intenção do usuário (por exemplo, identificar um tipo de tarefa que corresponde à entrada de linguagem natural), e executar ações com base na intenção deduzida do usuário (por exemplo, executar uma tarefa que corresponde ao tipo de tarefa identificado). Por exemplo, para atuar sobre uma intenção deduzida do usuário, o sistema pode executar uma ou mais das seguintes tarefas: identificar um fluxo de tarefas com etapas e parâmetros projetados para executar a intenção deduzida do usuário (por exemplo, identificar um tipo de tarefa), inserir exigências específicas da intenção deduzida do usuário no fluxo de tarefa, executar o fluxo de tarefas mediante a chamada de programas, métodos, serviços, APIs, ou similares (por exemplo, enviar uma solicitação a um provedor de serviços); e gerar resposta de saída para o usuário em forma audível (por exemplo, fala) e/ou visual.
[0041] Especificamente, uma vez iniciado, um sistema de assistente digital é capaz de aceitar uma solicitação do usuário ao menos parcialmente sob forma de um comando, solicitação, declaração, narrativa e/ou pergunta em linguagem natural. Tipicamente, a solicitação do usuário almeja uma resposta informacional ou a execução de uma tarefa pelo sistema de assistente digital. Uma resposta satisfatória à solicitação do usuário é, em geral, a provisão da resposta informacional solicitada, a execução da tarefa solicitada, ou uma combinação de ambas. Por exemplo, um usuário pode fazer uma pergunta ao sistema de assistente digital, por exemplo "Onde eu estou agora?" Com base na localização atual do usuário, o assistente digital poderá responder, "Você está no Central Park, próximo ao portão leste." O usuário pode, também, solicitar a execução de uma tarefa, por exemplo, dizendo "Convide meus amigos para a festa de aniversário de minha namorada semana que vem." Em resposta, o assistente digital pode reconhecer a solicitação gerando uma saída de voz, "Sim, imediatamente", e então enviar um convite para todos os amigos relacionados no catálogo de endereços de correio eletrônico ou na lista de contatos do usuário. Existem inúmeras maneiras diferentes de interagir com um assistente digital para solicitar informações ou a execução de várias tarefas. Além de fornecer respostas verbais e executar ações programadas, o assistente digital pode fornecer respostas sob outras formas visuais ou audíveis (por exemplo, como texto, alertas, música, vídeos, animações, etc.).
[0042] Conforme mostrado na Figura 1, em algumas implementações, um sistema de assistente digital é implementado de acordo com um modelo servidor-cliente. O sistema de assistente digital inclui uma porção do lado do cliente (por exemplo, 102a e 102b) (deste ponto em diante da presente descrição chamado de "cliente de assistente digital (AD) 102") executado em um dispositivo de usuário (por exemplo, 104a e 104b), e uma porção do lado do servidor 106 (deste ponto em diante da presente descrição chamado de "servidor de assistente digital (AD) 106") executado em um sistema de servidor 108. O cliente de AD 102 comunica-se com o servidor de AD 106 através de uma ou mais redes 110. O cliente de AD 102 fornece funcionalidades do lado do cliente como processamento de entradas e saídas voltado para o usuário e comunicação com o servidor de AD 106. O servidor de AD 106 fornece funcionalidades do lado do servidor para qualquer quantidade de clientes de DA 102, sendo que cada um reside em um respectivo dispositivo de usuário 104 (também chamado de dispositivo de cliente ou dispositivo eletrônico).
[0043] Em algumas implementações, o servidor de AD 106 inclui uma interface de E/S voltada para o cliente 112, um ou mais módulos de processamento 114, dados e modelos 116, uma interface de E/S para serviços externos 118, uma base de dados de fotos e marcações 130, e um módulo de marcação de fotos 132. A interface de E/S voltada para o cliente facilita o processamento de entradas e saídas voltado para o cliente do servidor de assistente digital 106. Os um ou mais módulos de processamento 114 utilizam os dados e modelos 116 para determinar a intenção do usuário com base na entrada de linguagem natural e procedem a execução de tarefas com base na intenção deduzida do usuário. A base de dados de fotos e marcações 130 armazena "impressões digitais" de fotografias digitais, e, opcionalmente, as próprias fotografias digitais, bem como as marcações associadas às fotografias digitais. O módulo de marcação de fotos 132 cria marcações, armazena as marcações associadas a fotografias e/ou impressões digitais, marca automaticamente as fotografias e cria links das marcações em locais dentro das fotografias.
[0044] Em algumas implementações, o servidor de AD 106 comunica-se com serviços externos 120 (por exemplo, serviço(s) de navegação 122-1, serviço(s) de mensagens 122-2, serviço(s) de informações 122-3, serviço de calendário 122-4, serviço de telefonia 122-5, serviço(s) de fotos 122-6, etc.) através da(s) rede(s) 110 para a execução de tarefas ou aquisição de informações. A interface de E/S para os serviços externos 118 facilita essas comunicações.
[0045] Exemplos de dispositivo de usuário 104 incluem, mas não se limitam a, um computador portátil, um assistente digital pessoal (PDA), um tablet PC, um computador laptop, um computador desktop, um telefone celular, um smartphone, um telefone móvel com serviço de rádio de pacote geral aprimorado (EGPRS - Enhanced General Packet Radio Service), um tocador (reprodutor) de mídia, um dispositivo de navegação, um console de jogos, um televisor, um controle remoto, ou uma combinação de quaisquer dois ou mais desses dispositivos de processamento de dados, ou quaisquer outros dispositivos de processamento de dados adequados. Outros detalhes sobre o dispositivo de usuário 104 são fornecidos com referência a um dispositivo de usuário exemplificador 104 mostrado na Figura 2.
[0046] Exemplos da(s) rede(s) de comunicação 110 incluem redes de área local (LAN) e redes de longa distância ou de área ampla (WAN), por exemplo, a Internet. As redes de comunicação 110 podem ser implementadas com o uso de qualquer protocolo de rede conhecido, incluindo vários protocolos com fio ou sem fio, como Ethernet, USB (Barramento Serial Universal), FIREWIRE, GSM (Sistema Global para Comunicações Móveis), EDGE (Taxas de Dados Ampliadas para a Evolução do GSM), CDMA (Acesso Múltiplo por Divisão de Código), TDMA (Acesso Múltiplo por Divisão de Tempo), Bluetooth, Wi-Fi, VoIP (Voz Sobre IP), Wi-MAX, ou qualquer outro protocolo de comunicação adequado.
[0047] O sistema de servidor 108 pode ser implementado em ao menos um aparelho de processamento de dados e/ou uma rede distribuída de computadores. Em algumas implementações, o sistema de servidor 108 emprega também vários dispositivos virtuais e/ou serviços de provedores terceirizados de serviços (por exemplo, provedor terceirizado de serviços de nuvem) para fornecer os recursos de computação de base e/ou de infraestrutura do sistema de servidor 108.
[0048] Embora o sistema de assistente digital mostrado na Figura 1 inclua uma porção do lado do cliente (por exemplo, o cliente de AD 102) e uma porção do lado do servidor (por exemplo, o servidor de AD 106), em algumas implementações, um sistema de assistente digital refere-se apenas à porção do lado do servidor (por exemplo, o servidor de AD 106). Em algumas implementações, as funções de um assistente digital podem ser implementadas como um aplicativo independente instalado em um dispositivo de usuário. Além disso, as divisões de funcionalidades entre as porções de cliente e servidor do assistente digital podem variar em implementações diferentes. Por exemplo, em algumas implementações, o cliente de AD 102 é um "thin client" (cliente com poucos aplicativos instalados) que fornece apenas funções de processamento de entradas e saídas voltado para o usuário, e delega todas as outras funcionalidades do assistente digital ao servidor de AD 106. Em algumas outras implementações, o cliente de AD 102 é configurado para executar ou assistir uma ou mais funções do servidor de AD 106.
[0049] A Figura 2 é um diagrama de blocos de um dispositivo de usuário 104 de acordo com algumas implementações. O dispositivo de usuário 104 inclui uma interface de memória 202, um ou mais processadores 204, e uma interface de periféricos 206. Os vários componentes do dispositivo de usuário 104 são acoplados por um ou mais barramentos de comunicação ou linhas de sinal. O dispositivo de usuário 104 inclui vários sensores, subsistemas e dispositivos periféricos que são acoplados à interface de periféricos 206. Os sensores, subsistemas e dispositivos periféricos coletam informações e/ou facilitam várias funcionalidades do dispositivo de usuário 104.
[0050] Por exemplo, em algumas implementações, um sensor de movimento 210 (por exemplo, um acelerômetro), um sensor de luz 212, um receptor de GPS 213, um sensor de temperatura e um sensor de proximidade 214 são acoplados à interface de periféricos 206 para facilitar as funções de detecção de orientação, iluminação e proximidade. Em algumas implementações, outros sensores 216, como um sensor biométrico, um barômetro, e similares, são conectados à interface de periféricos 206, para facilitar funcionalidades relacionadas.
[0051] Em algumas implementações, o dispositivo de usuário 104 inclui um subsistema de câmera 220 acoplado à interface de periféricos 206. Em algumas implementações, um sensor óptico 222 do subsistema de câmera 220 facilita as funções de câmera, como tirar fotografias e gravar videoclipes. Em algumas implementações, o dispositivo de usuário 104 inclui um ou mais subsistemas de comunicação 224 com fio e/ou sem fio para fornecer as funções de comunicação. Os subsistemas de comunicação 224 incluem, tipicamente, várias portas de comunicação, receptores e transmissores de radiofrequência e/ou receptores e transmissores ópticos (por exemplo, de radiação infravermelha). Em algumas implementações, o dispositivo de usuário 104 inclui um subsistema de áudio 226 acoplado a um ou mais alto-falantes 228 e um ou mais microfones 230 para facilitar funções habilitadas para voz, como reconhecimento de voz, replicação de voz, gravação digital, e funções de telefonia. Em algumas implementações, o subsistema de áudio 226 é acoplado a um sistema de ativação por voz 400. Em algumas implementações, o sistema de ativação por voz 400 e/ou o subsistema de áudio 226 inclui circuitos de áudio de baixo consumo de energia e/ou programas (isto é, incluindo hardware e/ou software) para receber e/ou analisar entradas de som, por exemplo um ou mais conversores analógico- digital, processadores de sinais digitais (PSDs), detectores de som, "buffers" de memória (regiões da memória para armazenamento temporário), codecs e similares. Em algumas implementações, os circuitos de áudio de baixo consumo de energia (sozinhos ou em conjunto com outros componentes do dispositivo de usuário 104) fornecem funcionalidade de ativação por voz (ou som) para um ou mais aspectos do dispositivo de usuário 104, como um assistente digital baseado em voz ou outro serviço baseado em fala. Em algumas implementações, os circuitos de áudio de baixo consumo de energia fornecem funcionalidade de ativação por voz mesmo quando outros componentes do dispositivo de usuário 104 estão desativados e/ou em um modo de espera, como o(s) processador(es) 204, o subsistema de E/S 240, a memória 250, e similares. O sistema de ativação por voz 400 é descrito em mais detalhes com referência à Figura 4.
[0052] Em algumas implementações, um subsistema de E/S 240 é também acoplado à interface de periféricos 206. Em algumas implementações, o dispositivo de usuário 104 inclui uma tela sensível ao toque 246, e o subsistema de E/S 240 inclui um controlador de tela sensível ao toque 242 acoplado à tela sensível ao toque 246. Quando o dispositivo de usuário 104 inclui a tela sensível ao toque 246 e o controlador de tela sensível ao toque 242, a tela sensível ao toque 246 e o controlador de tela sensível ao toque 242 são tipicamente configurados para, por exemplo, detectar contato e movimento ou interrupção dos mesmos com o uso de qualquer um dentre uma pluralidade de tecnologias de sensibilidade ao toque, como detecção capacitiva, resistiva, de radiação infravermelha e onda acústica de superfície, matrizes de sensores de proximidade, e similares. Em algumas implementações, o dispositivo de usuário 104 inclui uma tela que não tem uma superfície sensível ao toque. Em algumas implementações, o dispositivo de usuário 104 inclui uma superfície sensível ao toque separada. Em algumas implementações, o dispositivo de usuário 104 inclui outros controladores de entrada 244. Quando o dispositivo de usuário 104 inclui outros controlador(es) de entrada 244, os outros controladores de entrada 244 são, tipicamente, acoplados a outros dispositivos de entrada/controle 248, como um ou mais botões, interruptores, chave "thumbwheel" (roda dentada de ajuste de intensidade, volume, etc.), porta de infravermelho, porta USB e/ou um dispositivo apontador como uma caneta "stylus".
[0053] A interface de memória 202 é acoplada à memória 250. Em algumas implementações, a memória 250 inclui uma mídia de armazenamento legível por computador não temporária, como memória de acesso aleatório de alta velocidade e/ou memória não volátil (por exemplo, um ou mais dispositivos de armazenamento em disco magnético, um ou mais dispositivos de memória flash, um ou mais dispositivos de armazenamento óptico e/ou outros dispositivos de memória de estado sólido não volátil). Em algumas implementações, a memória 250 armazena um sistema operacional 252, um módulo de comunicação 254, um módulo de interface gráfica de usuário (GUI) 256, um módulo de processamento de sensores 258, um módulo de telefone 260 e aplicativos 262, e um subconjunto ou superconjunto os mesmos. O sistema operacional 252 inclui instruções para gerenciar sistemas de serviços básicos e para executar tarefas dependentes de hardware. O módulo de comunicação 254 facilita a comunicação com um ou mais dispositivos adicionais, um ou mais computadores e/ou um ou mais servidores. O módulo de interface gráfica de usuário 256 facilita o processamento da interface gráfica de usuário. O módulo de processamento de sensores 258 facilita processos e funções relacionados a sensores (por exemplo, processamento de entrada de voz recebida com os um ou mais microfones 228). O módulo de telefone 260 facilita processos e funções relacionados a telefones. O módulo de aplicativos 262 facilita várias funcionalidades de aplicativos de usuário, como envio/recebimento de mensagens eletrônicas, navegação na Web, processamento de mídia, navegação, imageamento e/ou outros processos e funções. Em algumas implementações, o dispositivo de usuário 104 armazena na memória 250 um ou mais aplicativos 270-1 e 270-2, cada um associado a ao menos um dos provedores de serviços externos.
[0054] Como descrito anteriormente, em algumas implementações, a memória 250 armazena também instruções do assistente digital do lado do cliente (por exemplo, em um módulo de cliente do assistente digital 264) e vários dados de usuário 266 (por exemplo, dados de vocabulário específico do usuário, dados de preferências e/ou outros dados como o catálogo de endereços eletrônicos ou a lista de contatos, lista de afazeres, listas de compras, etc., do usuário) para fornecer as funcionalidades do lado do cliente do assistente digital.
[0055] Em várias implementações, o módulo de cliente do assistente digital 264 é capaz de aceitar entrada de voz, entrada de texto, entrada de toque e/ou entrada gestual por meio de várias interfaces de usuário (por exemplo, o subsistema de E/S 244) do dispositivo de usuário 104. O módulo de cliente do assistente digital 264 é, também, capaz de fornecer saída em formato de áudio, visual e/ou tátil. Por exemplo, a saída pode ser fornecida como voz, som, alertas, mensagens de texto, menus, imagens, vídeos, animações, vibração e/ou combinações de dois ou mais dos itens mencionados. Durante o funcionamento, o módulo de cliente do assistente digital 264 comunica-se com o servidor de assistente digital (por exemplo, o servidor de assistente digital 106 da Figura 1) usando os subsistemas de comunicação 224.
[0056] Em algumas implementações, o módulo de cliente do assistente digital 264 utiliza vários sensores, subsistemas e dispositivos periféricos para coletar informações adicionais do ambiente circundante do dispositivo de usuário 104 para estabelecer um contexto associado a uma entrada de usuário. Em algumas implementações, o módulo de cliente do assistente digital 264 fornece as informações de contexto ou um subconjunto das mesmas com a entrada de usuário para o servidor de assistente digital (por exemplo, o servidor de assistente digital 106 da Figura 1) para auxiliar a deduzir a intenção do usuário.
[0057] Em algumas implementações, as informações de contexto que podem acompanhar a entrada de usuário incluem informações dos sensores, por exemplo, iluminação, ruído ambiente, temperatura ambiente, imagens ou vídeos do ambiente circundante, etc. Em algumas implementações, as informações de contexto incluem também o estado físico do dispositivo, por exemplo, orientação do dispositivo, localização do dispositivo, temperatura do dispositivo, nível de energia, velocidade, aceleração, padrões de movimento, intensidade dos sinais celulares, etc. Em algumas implementações, informações relacionadas ao estado de software do dispositivo do usuário 106, por exemplo, processos em execução, programas instalados, atividades na rede anteriores e atuais, serviços em segundo plano, registros de erros, uso de recursos, etc., do dispositivo do usuário 104 também são fornecidas ao servidor de servidor de assistente digital (por exemplo, o servidor de assistente digital 106 da Figura 1) como informações de contexto associadas à entrada do usuário.
[0058] Em algumas implementações, o módulo de cliente de AD 264 fornece seletivamente informações (por exemplo, ao menos uma porção dos dados de usuário 266) armazenadas no dispositivo de usuário 104 em resposta a solicitações do servidor de assistente digital. Em algumas implementações, o módulo de cliente do assistente digital 264 também extrai entradas adicionais do usuário através de um diálogo de linguagem natural ou outras interfaces de usuário mediante solicitação do servidor de assistente digital 106 (Figura 1). O módulo de cliente de assistente digital 264 passa as entradas adicionais ao servidor de assistente digital 106 para auxiliar o servidor de assistente digital 106 a deduzir a intenção e/ou executar a intenção do usuário expressa na solicitação do usuário.
[0059] Em algumas implementações, a memória 250 pode incluir instruções adicionais ou menos instruções. Além disso, várias funções do dispositivo de usuário 104 podem ser implementadas no hardware e/ou no firmware, incluindo em um ou mais circuitos integrados de processamento de sinais e/ou de aplicativos específicos, e o dispositivo de usuário 104, dessa forma, não precisa incluir todos os módulos e aplicativos ilustrados na Figura 2.
[0060] A Figura 3A é um diagrama de blocos de um sistema de assistente digital 300 exemplificador (também chamado de assistente digital) de acordo com algumas implementações. Em algumas implementações, o sistema de assistente digital 300 é implementado em um sistema de computador independente. Em algumas implementações, o sistema de assistente digital 300 é distribuído em múltiplos computadores. Em algumas implementações, alguns dos módulos e funções do assistente digital são divididos em uma porção de servidor e uma porção de cliente, em que a porção de cliente reside em um dispositivo de usuário (por exemplo, o dispositivo de usuário 104) e comunica-se com a porção de servidor (por exemplo, o sistema de servidor 108) através de uma ou mais redes, por exemplo, conforme mostrado na Figura 1. Em algumas implementações, o sistema de assistente digital 300 é uma modalidade do sistema de servidor 108 (e/ou do servidor de assistente digital 106) mostrado na Figura 1. Em algumas implementações, o sistema de assistente digital 300 é implementado em um dispositivo de usuário (por exemplo, o dispositivo de usuário 104 da Figura 1), eliminando, assim, a necessidade de um sistema de cliente-servidor. Deve ser observado que o sistema de assistente digital 300 é apenas um exemplo de um sistema de assistente digital, e que o sistema de assistente digital 300 pode ter mais ou menos componentes que aqueles mostrados, podendo combinar dois ou mais componentes, ou ter uma configuração ou disposição diferente de componentes. Os vários componentes mostrados na Figura 3A podem ser implementados em hardware, software, firmware, incluindo um ou mais circuitos integrados de processamento de sinais e/ou de aplicativos específicos, ou uma combinação dos mesmos.
[0061] O sistema de assistente digital 300 inclui uma memória 302, um ou mais processadores 304, uma interface de entrada/saída (E/S) 306 e uma interface de comunicação em rede 308. Esses componentes comunicam-se uns com os outros através de um ou mais barramentos de comunicação ou linhas de sinal 310.
[0062] Em algumas implementações, a memória 302 inclui uma mídia de armazenamento legível por computador não temporária, como memória de acesso aleatório de alta velocidade e/ou uma mídia de armazenamento legível por computador não volátil (por exemplo, um ou mais dispositivos de armazenamento em disco magnético, um ou mais dispositivos de memória flash, um ou mais dispositivos de armazenamento óptico e/ou outros dispositivos de memória de estado sólido não volátil).
[0063] A interface de E/S 306 acopla dispositivos de entrada/saída 316 do sistema de assistente digital 300, como telas, teclados, telas sensíveis ao toque e microfones, ao módulo de interface de usuário 322. A interface de E/S 306, em conjunto com o módulo de interface de usuário 322, recebe entradas de usuário (por exemplo, entrada de voz, entradas de teclado, entradas de toque, etc.) e as processa de acordo. Em algumas implementações, quando o assistente digital é implementado em um dispositivo de usuário independente, o sistema de assistente digital 300 inclui qualquer um dos componentes e as interfaces de E/S e de comunicação descritos com referência ao dispositivo de usuário 104 na Figura 2 (por exemplo, um ou mais microfones 230). Em algumas implementações, o sistema de assistente digital 300 representa a porção de servidor de uma implementação de assistente digital, e interage com o usuário através de uma porção do lado do cliente que reside em um dispositivo de usuário (por exemplo, o dispositivo de usuário 104 mostrado na Figura 2).
[0064] Em algumas implementações, a interface de comunicação em rede 308 inclui porta(s) de comunicação com fio 312 e/ou circuitos de transmissão e recepção sem fio 314. As portas de comunicação com fio recebem e enviam sinais de comunicação através de uma ou mais interfaces com fio, por exemplo Ethernet, USB (Barramento Serial Universal), FIREWIRE, etc. O circuito sem fio 314 tipicamente recebe e envia sinais de RF e/ou sinais ópticos de/para redes de comunicação e outros dispositivos de comunicação. As comunicações sem fio podem usar qualquer um dentre uma pluralidade de padrões de comunicação, protocolos e tecnologias, como GSM, EDGE, CDMA, TDMA, Bluetooth, Wi-Fi, VoIP, Wi-MAX, ou qualquer outro protocolo de comunicação adequado. A interface de comunicação em rede 308 possibilita a comunicação entre o sistema de assistente digital 300 com redes, como a Internet, uma intranet e/ou uma rede sem fio, como uma rede de telefonia celular, uma rede de área local (LAN) sem fio e/ou uma rede de área metropolitana (MAN), e outros dispositivos.
[0065] Em algumas implementações, a mídia de armazenamento legível por computador não temporária da memória 302 armazena programas, módulos, instruções e estruturas de dados incluindo todos ou um subconjunto dos seguintes itens: um sistema operacional 318, um módulo de comunicação 320, um módulo de interface de usuário 322, uma ou mais aplicativos 324 e um módulo de assistente digital 326. Os um ou mais processadores 304 executam esses programas, módulos e instruções, e leituras/gravações de/para as estruturas de dados.
[0066] O sistema operacional 318 (por exemplo, Darwin, RTXC, LINUX, UNIX, OS X, iOS, WINDOWS, ou um sistema operacional incorporado como VxWorks) inclui vários componentes de software e/ou drivers para controlar e gerenciar tarefas gerais de sistema (por exemplo, gerenciamento de memória, controle de dispositivos de armazenamento, gerenciamento de consumo de energia, etc.) e facilita a comunicação entre vários componentes de hardware, firmware e software.
[0067] O módulo de comunicação 320 facilita a comunicação entre o sistema de assistente digital 300 e outros dispositivos através da interface de comunicação em rede 308. Por exemplo, O módulo de comunicação 320 pode se comunicar com o módulo de comunicação 254 do dispositivo 104 mostrado na Figura 2. O módulo de comunicação 320 inclui também vários componentes de software para o tratamento de dados recebidos pelo circuito sem fio 314 e/ou porta de comunicação com fio 312.
[0068] Em algumas implementações, o módulo de interface de usuário 322 recebe comandos e/ou entradas de um usuário através da interface de E/S 306 (por exemplo, por meio de um teclado, tela sensível ao toque e/ou microfone), e mostra objetos de interface de usuário em uma tela.
[0069] Os aplicativos 324 incluem programas e/ou módulos que são configurados para serem executados pelos um ou mais processadores 304. Por exemplo, se o sistema de assistente digital for implementado em um dispositivo de usuário independente, os aplicativos 324 poderão incluir aplicativos de usuário, como jogos, um aplicativo de calendário, um aplicativo de navegação, ou um aplicativo de correio eletrônico. Se o sistema de assistente digital 300 for implementado em uma torre ("fazenda") de servidores, os aplicativos 324 poderão incluir aplicativos de gerenciamento de recursos, aplicativos de diagnóstico ou aplicativos de programação (agendamento), por exemplo.
[0070] A memória 302 armazena também o módulo de assistente digital (ou a porção de servidor de um assistente digital) 326. Em algumas implementações, o módulo de assistente digital 326 inclui os seguintes submódulos, ou um subconjunto ou superconjunto os mesmos: um módulo de processamento de entrada/saída 328, um módulo de transcrição de fala para texto (STT) 330, um módulo de processamento de linguagem natural 332, um módulo de processamento de fluxo de diálogo 334, um módulo de processamento de fluxo de tarefas 336, um módulo de processamento de serviços 338 e um módulo de fotos 132. Cada um desses módulos de processamento tem acesso a um ou mais dentre os seguintes dados e modelos do assistente digital 326, ou um subconjunto ou superconjunto os mesmos: ontologia 360, índice de vocabulário 344, dados de usuário 348, módulo de categorização 349, módulo de desambiguação 350, modelos de fluxo de tarefas 354, modelos de serviços 356, módulo de marcação de fotos 358, módulo de busca 360 e armazenamento local de marcações/fotos 362.
[0071] Em algumas implementações, usando os módulos de processamento (por exemplo, o módulo de processamento de entrada/saída 328, o módulo de processamento de STT 330, o módulo de processamento de linguagem natural 332, o módulo de processamento de fluxo de diálogo 334, o módulo de processamento de fluxo de tarefas 336 e/ou o módulo de processamento de serviços 338), dados e modelos implementados no módulo de assistente digital 326, o sistema de assistente digital 300 executa ao menos algumas das seguintes tarefas: identificar a intenção de um usuário expressa em uma entrada de linguagem natural fornecida pelo usuário; extrair e obter ativamente informações necessárias para deduzir completamente a intenção do usuário (por exemplo, por palavras de desambiguação, nomes, intenções, etc.); determinar o fluxo de tarefas para executar a intenção deduzida; e executar o fluxo de tarefas para cumprir a intenção deduzida. Em algumas implementações, o assistente digital executa também ações apropriadas quando uma resposta satisfatória não foi ou não pôde ser fornecida ao usuário por várias razões.
[0072] Em algumas implementações, conforme discutido abaixo, o sistema de assistente digital 300 identifica, a partir de uma entrada de linguagem natural, a intenção de um usuário para marcar uma fotografia digital, e processa a entrada de linguagem natural de modo a marcar a fotografia digital com informações apropriadas. Em algumas implementações, o sistema de assistente digital 300 executa também outras tarefas relacionadas a fotografias, como procurar fotografias digitais usando entrada de linguagem natural, marcar fotografias automaticamente, e similares. Conforme mostrado na Figura 3B, em algumas implementações, o módulo de processamento de E/S 328 interage com o usuário através dos dispositivos de E/S 316 mostrados na Figura 3A, ou com um dispositivo de usuário (por exemplo, o dispositivo de usuário 104 mostrado na Figura 1) através da interface de comunicação em rede 308 mostrada na Figura 3A para obter entrada de usuário (por exemplo, uma entrada de fala) e para fornecer respostas à entrada de usuário. O módulo de processamento de E/S 328 obtém, opcionalmente, informações de contexto associadas à entrada de usuário a partir do dispositivo de usuário, simultaneamente ou logo depois de receber a entrada de usuário. As informações de contexto incluem dados, vocabulário e/ou preferências específicos do usuário que são relevantes para a entrada de usuário. Em algumas implementações, as informações de contexto incluem também estados de software e de hardware do dispositivo (por exemplo, o dispositivo de usuário 104 mostrado na Figura 1) no momento em que a solicitação do usuário é recebida, e/ou informações relacionadas ao ambiente circundante do usuário no momento em que a solicitação do usuário foi recebida. Em algumas implementações, o módulo de processamento de E/S 328 envia também ao usuário perguntas complementares, e recebe dele as respostas relacionadas à sua solicitação. Em algumas implementações, quando uma solicitação de usuário é recebida pelo módulo de processamento de E/S 328 e a solicitação contém uma entrada de fala, o módulo de processamento de E/S 328 encaminha a entrada de fala ao módulo de transcrição de fala para texto (STT) 330 para as devidas conversões de fala em texto.
[0073] Em algumas implementações, o módulo de processamento de fala para texto 330 recebe entrada de fala (por exemplo, a declaração do usuário capturada em uma gravação de voz) através do módulo de processamento de E/S 328. Em algumas implementações, o módulo de processamento de fala para texto 330 usa vários modelos acústicos e de linguagem para reconhecer a entrada de fala como uma sequência de fonemas, e por fim, uma sequência de palavras ou símbolos ("tokens") escritos em uma ou mais linguagens. O módulo de processamento de fala para texto 330 é implementado com o uso de quaisquer técnicas de reconhecimento de fala adequadas, modelos acústicos e modelos léxicos, como Modelos Ocultos de Markov, reconhecimento de fala baseado no algoritmo DTW (Alinhamento Temporal Dinâmico), e outras técnicas estatísticas e/ou analíticas. Em algumas implementações, o processamento de fala para texto pode ser executado, ao menos parcialmente, por um serviço terceirizado ou no dispositivo do usuário. Depois de obter o resultado do processamento de fala para texto (por exemplo, uma sequência de palavras ou símbolos), o módulo de processamento de voz para texto 330 passa o resultado para o módulo de processamento de linguagem natural 332 para deduzir a intenção do usuário. O módulo de processamento de linguagem natural 332 ("processador de linguagem natural") do assistente digital 326 recebe a sequência de palavras ou símbolos ("sequência de símbolos") gerada pelo módulo de processamento de fala para texto 330 e tenta associar a sequência de símbolos com uma ou mais "intenções executáveis" reconhecidas pelo assistente digital. Para uso na presente revelação, uma "intenção executável" representa uma tarefa que pode ser feita pelo assistente digital 326 e/ou pelo sistema de assistente digital 300 (Figura 3A) e que tem um fluxo de tarefas associado implementado nos modelos de fluxo de tarefas 354. O fluxo de tarefas associado é uma série de ações e etapas programadas que o sistema de assistente digital 300 segue para executar a tarefa. O escopo das capacidades de um sistema de assistente digital depende do número e da variedade de fluxos de tarefa que foram implementados e armazenados nos modelos de fluxo de tarefas 354, ou, em outras palavras, do número e da variedade de "intenções executáveis" que o sistema de assistente digital 300 reconhece. A eficácia do sistema de assistente digital 300, entretanto, depende também da capacidade do sistema de assistente digital de deduzir a "intenção executável" a partir da solicitação do usuário expressa em linguagem natural.
[0074] Em algumas implementações, além da sequência de palavras ou símbolos obtida do módulo de processamento de fala para texto 330, o processador de linguagem natural 332 recebe também informações de contexto associadas à solicitação do usuário (por exemplo, do módulo de processamento de E/S 328). O processador de linguagem natural 332 usa, opcionalmente, as informações de contexto para esclarecer, complementar e/ou definir adicionalmente as informações contidas na sequência de símbolos recebida do módulo de processamento de fala para texto 330. As informações de contexto incluem, por exemplo, preferências do usuário, estados de hardware e/ou de software do dispositivo de usuário, informações dos sensores coletadas antes, durante ou logo após uma solicitação de usuário, antes das interações (por exemplo, diálogo) entre o assistente digital e o usuário, e similares.
[0075] Em algumas implementações, o processamento de linguagem natural tem por base uma ontologia 360. A ontologia 360 é uma estrutura hierárquica contendo uma pluralidade de nós, onde cada nó representa uma "intenção executável" ou uma "propriedade" relevante para uma ou mais das "intenções executáveis" ou outras "propriedades". Como observado anteriormente, uma "intenção executável" representa uma tarefa que o sistema de assistente digital 300 é capaz de executar (por exemplo, uma tarefa que é "executável" ou que pode ser submetida a uma ação). Uma "propriedade" representa um parâmetro associado a uma intenção executável ou um subaspecto de uma outra propriedade. Um vínculo entre um nó de intenção executável e um nó de propriedade na ontologia 360 define como um parâmetro representado pelo nó de propriedade pertence à tarefa representada pelo nó de intenção executável. Em algumas implementações, a ontologia 360 é composta por nós de intenção executável e nós de propriedade. Dentro da ontologia 360, cada nó de intenção executável é vinculado a um ou mais nós de propriedade, diretamente ou através de um ou mais nós de propriedade intermediários. De modo similar, cada nó de propriedade é vinculado a um ou mais nós de intenção executável, diretamente ou através de um ou mais nós de propriedade intermediários. Por exemplo, a ontologia 360 mostrada na Figura 3C inclui um nó "reserva em restaurante", que é um nó de intenção executável. Os nós de propriedade "restaurante", "data/hora" (para a reserva) e "número de pessoas" são, cada um, vinculados diretamente ao nó "reserva em restaurante" (isto é, o nó de intenção executável). Além disso, os nós de propriedade "culinária", "faixa de preços", "número de telefone", e "endereço" são subnós do nó de propriedade "restaurante", e são, cada um, vinculados ao nó "reserva em restaurante" (isto é, o nó de intenção executável) através do nó de propriedade intermediário "restaurante". Como outro exemplo, a ontologia 360 mostrada na Figura 3C inclui também um nó "ativar lembrete", que é um outro nó de intenção executável. Os nós de propriedade "data/hora" (para a definição do lembrete) e "assunto" (para o lembrete) são, cada um, vinculados ao nó "ativar lembrete". Como a propriedade "data/hora" é relevante para ambas as tarefas de fazer uma reserva em restaurante e definir um lembrete, o nó de propriedade "data/hora" é vinculado ao nó "reserva em restaurante" e ao nó "ativar lembrete" na ontologia 360.
[0076] Um nó de intenção executável, juntamente com seus nós conceituais vinculados, pode ser descrito como um "domínio". Na presente discussão, cada domínio está associado a uma respectiva intenção executável e refere-se ao grupo de nós (e aos relacionamentos entre eles) associado à intenção executável específica. Por exemplo, a ontologia 360 mostrada na Figura 3C inclui um exemplo de um domínio de reserva em restaurante 362 e um exemplo de um domínio de lembrete 364 dentro da ontologia 360. O domínio de reserva em restaurante inclui o nó de intenção executável "reserva em restaurante", os nós de propriedade "restaurante", "data/hora" e "número de pessoas", e os nós de subpropriedades "culinária", "faixa de preços", "número de telefone" e "endereço". O domínio de lembrete 364 inclui o nó de intenção executável "ativar lembrete" e os nós de propriedade "assunto" e "data/hora". Em algumas implementações, a ontologia 360 é composta por muitos domínios. Cada domínio pode compartilhar um ou mais nós de propriedade com um ou mais outros domínios. Por exemplo, o nó de propriedade "data/hora" pode ser associado a muitos outros domínios (por exemplo, um domínio de agendamento, um domínio de reserva de viagem, um domínio de compra de ingresso de cinema, etc.), além do domínio de reserva em restaurante 362 e do domínio de lembrete 364. Embora a Figura 3C mostre dois domínios exemplificadores dentro da ontologia 360, a ontologia 360 pode incluir outros domínios (ou intenções executáveis), como "iniciar chamada telefônica", "encontrar indicações", "agendar uma reunião", "enviar uma mensagem" e "responder uma pergunta", "marcar uma foto", e assim por diante. Por exemplo, um domínio "enviar uma mensagem" é associado a um nó de intenção executável "enviar uma mensagem", e pode incluir adicionalmente nós de propriedade como "destinatário(s)", "tipo de mensagem" e "corpo da mensagem". O nó de propriedade "destinatário" pode ser adicionalmente definido, por exemplo, por nós de subpropriedades como "nome do destinatário" e "endereço da mensagem".
[0077] Em algumas implementações, a ontologia 360 inclui todos os domínios (e, portanto, as intenções executáveis) que o assistente digital é capaz de entender e executar. Em algumas implementações, a ontologia 360 pode ser modificada, por exemplo, pela adição ou remoção de domínios ou nós, ou pela modificação de relacionamentos entre os nós dentro da ontologia 360.
[0078] Em algumas implementações, os nós associados a múltiplas intenções executáveis relacionadas podem ser agrupados sob um "superdomínio" na ontologia 360. Por exemplo, um superdomínio "viagem" pode incluir um grupo de nós de propriedade e de nós de intenção executável relacionados a viagens. Os nós de intenção executável relacionados a viagens podem incluir "reserva de voo", "reserva de hotel", "aluguel de carro", "obter indicações", "localizar pontos de interesse", etc. Os nós de intenção executável sob o mesmo superdomínio (por exemplo, o superdomínio "viagem") podem ter muitos nós de propriedade em comum. Por exemplo, os nós de intenção executável para "reserva de voo", "reserva de hotel", "aluguel de carro", "obter indicações" e "localizar pontos de interesse" podem compartilhar um ou mais dentre os nós de propriedade "local de partida", "destino", "data/hora de partida", "data/hora de chegada" e "número de pessoas".
[0079] Em algumas implementações, cada nó na ontologia 360 é associado a um conjunto de palavras e/ou frases que são relevantes para a propriedade ou intenção executável representada pelo nó. O respectivo conjunto de palavras e/ou frases associado a cada nó é o chamado "vocabulário" associado ao nó. O respectivo conjunto de palavras e/ou frases associado a cada nó pode ser armazenado no índice de vocabulário 344 (Figura 3B) em associação com a propriedade ou intenção executável representada pelo nó. Por exemplo, novamente com referência à Figura 3B, o vocabulário associado ao nó para a propriedade de "restaurante" pode incluir palavras como "comida", "bebidas", "culinária", "fome", "comer", "pizza", "fast food", "refeição", etc. Como outro exemplo, o vocabulário associado ao nó for para a intenção executável de "iniciar chamada telefônica" pode incluir palavras como "ligar", "fone", "discar", "chamar", "ligar para esse número", "fazer uma ligação para", etc. O índice de vocabulário 344 inclui, opcionalmente, palavras e frases em diferentes idiomas. Em algumas implementações, o processador de linguagem natural 332 mostrado na Figura 3B recebe a sequência de símbolos (por exemplo, uma sequência de texto) do módulo de processamento de fala para texto 330, e determina quais nós estão implicados pelas palavras na sequência de símbolos. Em algumas implementações, se for determinado que uma palavra ou uma frase na sequência de símbolos está associada a um ou mais nós na ontologia 360 (através do índice de vocabulário 344), a palavra ou frase irá "disparar" ou "ativar" esses nós. Quando múltiplos nós são "disparados", com base na quantidade e/ou importância relativa dos nós ativados, o processador de linguagem natural 332 seleciona uma das intenções executáveis como a tarefa (ou tipo de tarefa) que o usuário deseja que assistente digital execute. Em algumas implementações, o domínio com o maior número de nós "disparados" é selecionado. Em algumas implementações, o domínio com o maior de confiança (por exemplo, com base na importância relativa de seus vários nós disparados) é selecionado. Em algumas implementações, o domínio é selecionado com base em uma combinação do número e da importância dos nós disparados. Em algumas implementações, são considerados, também, fatores adicionais na seleção do nó, por exemplo se o sistema de assistente digital 300 interpretou corretamente uma solicitação similar anterior feita por um usuário.
[0080] Em algumas implementações, o sistema de assistente digital 300 armazena também nomes de entidades específicas no índice de vocabulário 344, de modo que quando um desses nomes for detectado em uma solicitação do usuário, o processador de linguagem natural 332 será capaz de reconhecer que o nome se refere a um caso específico de uma propriedade ou subpropriedade na ontologia. Em algumas implementações, os nomes de entidades específicas são nomes de empresas, restaurantes, pessoas, filmes e similares. Em algumas implementações, o sistema de assistente digital 300 pode procurar e identificar nomes de entidades específicas a partir de outras fontes de dados, como o catálogo de endereços ou a lista de contatos do usuário, uma base de dados de filmes, uma base de dados de músicos e/ou uma base de dados de restaurantes. Em algumas implementações, quando o processador de linguagem natural 332 identifica que uma palavra na sequência de símbolos é um nome de uma entidade específica (como um nome no catálogo de endereços ou na lista de contatos do usuário), a essa palavra é atribuída significância adicional na seleção da intenção executável dentro da ontologia para a solicitação do usuário. Por exemplo, quando as palavras "Sr. Santos" são reconhecidas a partir da solicitação do usuário, e o último nome "Santos" é encontrado no índice de vocabulário 344 como um dos contatos na lista de contatos do usuário, então é provável que a solicitação do usuário corresponda a um domínio "enviar uma mensagem" ou "iniciar chamada telefônica". Como outro exemplo, quando as palavras "ABC Café" são encontradas na solicitação do usuário, e o termo "ABC Café" é encontrado no índice de vocabulário 344 como o nome de um restaurante específico na cidade do usuário, então é provável que a solicitação do usuário corresponda a um domínio "reserva em restaurante".
[0081] Os dados de usuário 348 incluem informações específicas sobre o usuário, como vocabulário, preferências, endereço, idioma principal e secundário, lista de contatos, e outras informações específicas de curto e de longo prazo de retenção de cada usuário. O processador de linguagem natural 332 pode usar as informações específicas sobre o usuário para complementar as informações contidas na entrada de usuário para definir adicionalmente a intenção do usuário. Por exemplo, para uma solicitação de usuário "convidar meus amigos para minha festa de aniversário", o processador de linguagem natural 332 pode ter acesso aos dados de usuário 348 para determinar quem são os "amigos" e quando e onde a "festa de aniversário" irá acontecer, em vez de exigir que o usuário forneça tais informações explicitamente em sua solicitação.
[0082] Em algumas implementações, o processador de linguagem natural 332 inclui um módulo de categorização 349. Em algumas implementações, o módulo de categorização 349 determina se cada um dentre os um ou mais termos na sequência de texto (por exemplo, correspondendo a uma entrada de fala associada a uma fotografia digital) é um dentre uma entidade, uma atividade ou um local, conforme discutido em mais detalhes a seguir. Em algumas implementações, o módulo de categorização 349 classifica cada termo dos um ou mais termos como um dentre uma entidade, uma atividade ou um local. Depois que o processador de linguagem natural 332 identifica uma intenção executável (ou domínio) com base na solicitação do usuário, o processador de linguagem natural 332 gera uma consulta estruturada para representar a intenção executável identificada. Em algumas implementações, a consulta estruturada inclui parâmetros para um ou mais nós dentro do domínio para a intenção executável, e ao menos alguns dos parâmetros são preenchidos com as informações específicas e os requisitos especificados na solicitação do usuário. Por exemplo, o usuário pode dizer "Fazer reserva para o jantar no restaurante japonês às 19". Nesse caso, o processador de linguagem natural 332 pode identificar corretamente a intenção executável como sendo "reserva em restaurante" com base na entrada de usuário. De acordo com a ontologia, uma consulta estruturada para um domínio "reserva em restaurante" pode incluir parâmetros como {Culinária}, {Hora}, {Data}, {Número de pessoas}, e similares. Com base nas informações contidas na declaração do usuário, o processador de linguagem natural 332 pode gerar uma consulta estruturada parcial para o domínio de reserva em restaurante, onde a consulta estruturada parcial inclui os parâmetros {Culinária= "Sushi"} e {Hora = "19"}. Entretanto, nesse exemplo, a declaração do usuário contém informações insuficientes para completar a consulta estruturada associada ao domínio. Portanto, outros parâmetros necessários, como {Número de pessoas} e {Data} não são especificados na consulta estruturada com base nas informações disponíveis atualmente. Em algumas implementações, o processador de linguagem natural 332 preenche alguns parâmetros da consulta estruturada com as informações de contexto recebidas. Por exemplo, se o usuário solicitou um restaurante japonês "perto de mim", o processador de linguagem natural 332 poderá preencher um parâmetro {endereço} na consulta estruturada com coordenadas de GPS do dispositivo de usuário 104.
[0083] Em algumas implementações, o processador de linguagem natural 332 passa a consulta estruturada (inclusive quaisquer parâmetros preenchidos) para o módulo de processamento de fluxo de tarefas 336 ("processador de fluxo de tarefa"). O processador de fluxo de tarefas 336 é configurado para executar uma ou mais das tarefas: receber a consulta estruturada do processador de linguagem natural 332, preencher a consulta estruturada e executar as ações necessárias para "completar" a solicitação final (definitiva) do usuário. Em algumas implementações, os vários procedimentos necessários para completar essas tarefas são fornecidos em modelos de fluxo de tarefas 354. Em algumas implementações, os modelos de fluxo de tarefas 354 incluem procedimentos para obter informações adicionais do usuário, e fluxos de tarefa para executar ações associadas à intenção executável. Como descrito anteriormente, para completar uma consulta estruturada, o processador de fluxo de tarefas 336 pode precisar iniciar um diálogo adicional com o usuário para obter informações adicionais e/ou desambiguar declarações potencialmente ambíguas. Quando tais interações são necessárias, o processador de fluxo de tarefas 336 solicita ao módulo de processamento de diálogo 334 ("processador de diálogo") que inicie um diálogo com o usuário. Em algumas implementações, o módulo de processamento de diálogo 334 determina como (e/ou quando) pedir ao usuário as informações adicionais, e recebe e processa as respostas do usuário. Em algumas implementações, as perguntas são feitas aos usuários e as respostas recebidas dos mesmos através do módulo de processamento de E/S 328. Por exemplo, o módulo de processamento de diálogo 334 apresenta ao usuário um diálogo por meio de saída de áudio e/ou visual, e recebe a entrada (resposta) do usuário através de respostas faladas ou físicas (por exemplo, gestos de toque). Ainda com referência ao exemplo acima, quando o processador de fluxo de tarefas 336 solicita ao processador de diálogo 334 que determine as informações de "número de pessoas" e "data" para a consulta estruturada associada ao domínio "reserva em restaurante", o processador de diálogo 334 gerar perguntas como "Para quantas pessoas?" e "Em que dia?" para apresentar ao usuário. Depois de receber as respostas do usuário, o módulo de processamento de diálogo 334 preenche a consulta estruturada com as informações que faltam, ou passa as informações ao processador de fluxo de tarefas 336 para completar as informações que faltam a partir da consulta estruturada.
[0084] Em alguns casos, o processador de fluxo de tarefas 336 pode receber uma consulta estruturada que tenha uma ou mais propriedades ambíguas. Por exemplo, uma consulta estruturada para o domínio "enviar uma mensagem" pode indicar que o destinatário pretendido é "Bob", e o usuário pode ter vários contatos chamados "Bob". O processador de fluxo de tarefas 336 solicitará ao processador de diálogo 334 que faça a desambiguação dessa propriedade da consulta estruturada. Por sua vez, o processador de diálogo 334 poderá perguntar ao usuário "Qual Bob?", e mostrar (ou ler) uma lista de contatos chamados "Bob" dentre os quais o usuário poderá escolher um.
[0085] Em algumas implementações, o processador de diálogo 334 inclui um módulo de desambiguação 350. Em algumas implementações, o módulo de desambiguação 350 faz a desambiguação de um ou mais termos ambíguos (por exemplo, um ou mais termos ambíguos na sequência de texto correspondendo a uma entrada de fala associada a uma fotografia digital). Em algumas implementações, o módulo de desambiguação 350 identifica que um primeiro termo dentre os um ou mais termos tem múltiplos significados candidatos, solicita ao usuário que forneça informações adicionais sobre o primeiro termo, recebe essas informações do usuário em resposta à solicitação e identifica a entidade, atividade ou local associado ao primeiro termo de acordo com as informações adicionais.
[0086] Em algumas implementações, o módulo de desambiguação 350 faz a desambiguação de pronomes. Em tais implementações, o módulo de desambiguação 350 identifica um dentre os um ou mais termos como um pronome e determina um nome ao qual o pronome se refere. Em algumas implementações, o módulo de desambiguação 350 determina um nome ao qual o pronome se refere usando uma lista de contatos associada a um usuário do dispositivo eletrônico. Alternativamente, ou adicionalmente, o módulo de desambiguação 350 determina um nome ao qual o pronome se refere como um nome de uma entidade, uma atividade ou um local identificado em uma entrada de fala anterior associada a uma fotografia digital previamente marcada. Alternativamente, ou adicionalmente, o módulo de desambiguação 350 determina um nome ao qual o pronome se refere como um nome de uma pessoa identificada com base em uma entrada de fala anterior associada a uma fotografia digital previamente marcada. Em algumas implementações, o módulo de desambiguação 350 acessa as informações obtidas de um ou mais sensores (por exemplo, sensor de proximidade 214, sensor de luz 212, receptor de GPS 213, sensor de temperatura 215 e sensor de movimento 210) de um dispositivo eletrônico portátil (por exemplo, dispositivo de usuário 104) para determinar um significado de um ou mais dos termos. Em algumas implementações, o módulo de desambiguação 350 identifica dois termos, cada um associado a um dentre uma entidade, uma atividade ou um local. Por exemplo, o primeiro dos dois termos refere- se a uma pessoa, e o segundo dos dois termos refere-se a um local. Em algumas implementações, o módulo de desambiguação 350 identifica três termos, cada um associado a um dentre uma entidade, uma atividade ou um local.
[0087] Depois que o processador de fluxo de tarefas 336 completar a consulta estruturada para uma intenção executável, o processador de fluxo de tarefas 336 passa a executar a tarefa definitiva associada à intenção executável. Consequentemente, o processador de fluxo de tarefas 336 executa as etapas e as instruções no modelo de fluxo de tarefas de acordo com os parâmetros específicos contidos na consulta estruturada. Por exemplo, o modelo de fluxo de tarefas para a intenção executável de "reserva em restaurante" pode incluir etapas e instruções para entrar em contato com um restaurante e solicitar efetivamente uma reserva para um dado número de pessoas e hora específica. Por exemplo, usando uma consulta estruturada como: {reserva em restaurante, restaurante = ABC Café, data = 3/12/2012, hora = 19, número de pessoas = 5}, o processador de fluxo de tarefas 336 poderá executar as seguintes tarefas: (1) conectar-se a um servidor do ABC Café ou a um sistema de reservas em restaurantes configurado para aceitar reservas em vários restaurantes, como o ABC Café, (2) fornecer informações de data, hora e número de pessoas em um formulário no site da Web, (3) enviar o formulário, e (4) fazer uma marcação relativa à reserva no calendário do usuário. Em outro exemplo, descrito em mais detalhes a seguir, o processador de fluxo de tarefas 336 executa etapas e instruções associadas à marcação ou busca de fotografias digitais em resposta a uma entrada de voz, por exemplo, em conjunto com módulo de fotos 132. Em algumas implementações, o processador de fluxo de tarefas 336 usa a assistência de um módulo de processamento de serviços 338 ("processador de serviço") para completar uma tarefa solicitada em uma entrada de usuário ou para fornecer uma resposta informacional solicitada em uma entrada de usuário. Por exemplo, o processador de serviço 338 pode agir "em nome" do processador de fluxo de tarefas 336 para fazer uma ligação telefônica, definir uma entrada de calendário, solicitar uma busca de mapa, solicitar ou interagir com outros aplicativos de usuário instalados no dispositivo de usuário, e solicitar ou interagir com serviços terceirizados (por exemplo, um portal de reservas em restaurantes, um site da Web ou serviço de rede social, um portal de serviços bancários, etc.,). Em algumas implementações, os protocolos e interfaces de programação de aplicativos (APIs) exigidos individualmente pelos serviços podem ser especificados por um respectivo modelo de serviço entre os modelos de serviço 356. O processador de serviço 338 acessa o modelo de serviço adequado para um dado serviço e gera solicitações para o serviço de acordo com os protocolos e APIs exigidos pelo serviço de acordo com o modelo de serviço.
[0088] Por exemplo, se um restaurante tornou disponível um serviço de reservas online, o restaurante poderá enviar um modelo de serviço especificando os parâmetros necessários para se fazer reservas e os APIs para a transmissão dos valores dos parâmetros necessários para o serviço de reservas online. Quando solicitado pelo processador de fluxo de tarefas 336, o processador de serviço 338 poderá estabelecer uma conexão de rede com o serviço de reservas online usando o endereço da Web armazenado nos modelos de serviços 356, e enviar os parâmetros necessários da reserva (por exemplo, hora, data, número de pessoas) para a interface de reserva online em um formato de acordo com o API do serviço de reservas online.
[0089] Em algumas implementações, o processador de linguagem natural 332, o processador de diálogo 334 e o processador de fluxo de tarefas 336 são usados coletiva e iterativamente para deduzir e definir a intenção do usuário, obter informações para esclarecer e refinar adicionalmente a intenção do usuário, e finalmente gerar uma resposta (por exemplo, fornecer uma saída para o usuário, ou completar uma tarefa) para cumprir a intenção do usuário.
[0090] Em algumas implementações, depois de executadas todas as tarefas necessárias para cumprir a intenção do usuário, o assistente digital 326 formula uma resposta de confirmação e a envia para o usuário através do módulo de processamento de E/S 328. Se a solicitação do usuário buscar uma resposta informacional, a resposta de confirmação apresenta a informação solicitada para o usuário. Em algumas implementações, o assistente digital solicita ainda que o usuário indique se está satisfeito com a resposta produzida pelo assistente digital 326.
[0091] É feita agora referência à Figura 4, que é um diagrama de blocos ilustrando componentes de um sistema de ativação por voz 400, de acordo com algumas implementações. (O sistema de ativação por voz 400 não se limita à voz humana, e as implementações aqui descritas aplicam-se igualmente a sons que não sejam voz.) O sistema de ativação por voz 400 é composto por vários componentes, módulos e/ou programas de software dentro do dispositivo eletrônico 104. Em algumas implementações, o sistema de ativação por voz 400 inclui um detector de ruído 402, um detector de tipo de som 404, um detector de som de ativação 406 e um serviço baseado em fala 408, e um subsistema de áudio 226, sendo cada um acoplado a um barramento de áudio 401. Em algumas implementações, são usadas quantidades maiores ou menores desses módulos. Os detectores de som 402, 404 e 406 podem ser chamados de "módulos" e podem incluir hardware (por exemplo, circuitos, memória, processadores, etc.), software (por exemplo, programas, "software-on-a-chip", firmware, etc.) e/ou quaisquer combinações dos mesmos para executar a funcionalidade aqui descrita. Em algumas implementações, os detectores de som são acoplados comunicativamente, programaticamente, fisicamente e/ou operacionalmente entre si (por exemplo, através de um barramento de comunicação), conforme ilustrado na Figura 4 pelas linhas tracejadas. (Para facilidade de ilustração, a Figura 4 mostra cada detector de som acoplado apenas a detectores de som adjacentes. Deve-se entender que cada detector de som pode ser acoplado também a qualquer um dos outros detectores de som.)
[0092] Em algumas implementações, o subsistema de áudio 226 inclui um codec 410, um processador de sinais digitais de áudio (PSD) 412 e um "buffer" de memória 414. Em algumas implementações, o subsistema de áudio 226 é acoplado a um ou mais microfones 230 (Figura 2) e a um ou mais alto-falantes 228 (Figura 2). O subsistema de áudio 226 fornece entradas de som para os detectores de som 402, 404, 406 e o serviço baseado em fala 408 (além de outros componentes ou módulos, como um telefone e/ou subsistema de banda base de um telefone) para processamento e/ou análise. Em algumas implementações, o subsistema de áudio 226 é acoplado a um sistema de áudio externo 416 que inclui ao menos um microfone 418 e ao menos um alto-falante 420.
[0093] Em algumas implementações, o serviço baseado em fala 408 é um assistente digital baseado em voz, e corresponde a um ou mais componentes ou funcionalidades do sistema de assistente digital descrito anteriormente com referência às Figuras 1 a 3C. Em algumas implementações, o serviço baseado em fala é um serviço de conversão de fala para texto, um serviço de transcrição, ou similar em algumas implementações, o detector de som 402 monitora um canal de áudio para determinar se a entrada de som do subsistema de áudio 226 satisfaz a condição predeterminada, como um limiar de amplitude. O canal de áudio corresponde a um fluxo de informações de áudio recebido por um ou mais dispositivos de captação de som, como os um ou mais microfones 230 (Figura 2). O canal de áudio refere-se às informações de áudio independentemente de seu estado de processamento ou do hardware específico que processa e/ou transmite essas informações. Por exemplo, o canal de áudio pode se referir a impulsos elétricos analógicos (e/ou os circuitos nos quais os impulsos são propagados) oriundos do microfone 230, bem como a um fluxo de áudio codificado digitalmente resultante do processamento dos impulsos elétricos analógicos (por exemplo, pelo subsistema de áudio 226 e/ou qualquer outro sistema de processamento de áudio do dispositivo eletrônico 104).
[0094] Em algumas implementações, a condição predeterminada é se a entrada de som encontra-se acima de um certo volume durante uma quantidade de tempo predeterminada. Em algumas implementações, o detector de som usa análise de sinais no domínio do tempo da entrada de som, o que exige quantidades relativamente pequenas de recursos computacionais e de bateria em comparação com outros tipos de análise (por exemplo, conforme a análise executada pelo detector de tipo de som 404, o detector de palavra de ativação 406 e/ou o serviço baseado em fala 408). Em algumas implementações, são utilizados outros tipos de processamento de sinais e/ou análise de áudio, por exemplo análise de sinais no domínio da frequência. Se o detector de som 402 determinar que a entrada de som satisfaz a condição predeterminada, o detector iniciará um detector de som a montante, como o detector de tipo de som 404 (por exemplo, fornecendo um sinal de controle para iniciar uma ou mais rotinas de processamento e/ou fornecendo energia para o detector de som a montante). Em algumas implementações, o detector de som a montante é iniciado em resposta à condição de outros critérios serem satisfeitos. Por exemplo, em algumas implementações, o detector de som a montante é iniciado em resposta à determinação de que o dispositivo não se encontra em um espaço fechado (por exemplo, com base na condição de um detector de luz detectar um nível limite de luz).
[0095] O detector de tipo de som 404 monitora o canal de áudio para determinar se a entrada de som corresponde a um certo tipo de som, como um som característico de uma voz humana, assobio, bater de palmas, etc. O tipo de som que o detector de tipo de som 404 está configurado para reconhecer corresponderá ao(s) som(ns) de ativação específico(s) que o recurso de ativação por voz estiver configurado para reconhecer. Em implementações nas quais o som de ativação é uma palavra ou uma frase pronunciada, o detector de tipo de som 404 inclui um "detector de atividade de voz" (VAD). Em algumas implementações, o detector de tipo de som 404 usa análise de sinais no domínio da frequência da entrada de som. Por exemplo, o detector de tipo de som 404 gera um espectrograma de uma entrada de som recebida (por exemplo, usando uma transformada de Fourier), e analisa os componentes espectrais da entrada de som para determinar se a entrada de som provavelmente corresponderá a um tipo ou categoria específica de sons (por exemplo, fala humana). Dessa forma, em implementações onde o som de ativação é uma palavra ou uma frase pronunciada, se o canal de áudio estiver captando som ambiente (por exemplo, ruído do tráfego), mas não fala humana, o VAD não iniciará o detector de som de ativação 406. Em algumas implementações, o detector de tipo de som 404 permanece ativo enquanto as condições predeterminadas de qualquer detector de som a montante (por exemplo, o detector de som 402) forem satisfeitas. Por exemplo, em algumas implementações, o detector de tipo de som 404 permanece ativo enquanto a entrada de som incluir som acima de um limiar de amplitude predeterminado (conforme determinado pelo detector de som 402), e será desativado quando o nível de som cair abaixo do limiar predeterminado. Em algumas implementações, depois de iniciado, o detector de tipo de som 404 permanece ativo até uma condição ser satisfeita, o término de um cronômetro (por exemplo, por 1, 2, 5 ou 10 segundos, ou qualquer outra duração adequada), o término de um certo número de ciclos de ativação/desativação do detector de tipo de som 404, ou a ocorrência de um evento (por exemplo, a amplitude do som cai abaixo de um segundo limiar, conforme determinado pelo detector de som 402 e/ou o detector de tipo de som 404).
[0096] Conforme mencionado anteriormente, se o detector de tipo de som 404 determinar que a entrada de som corresponde a um tipo de som predeterminado, o detector iniciará um detector de som a montante (por exemplo, fornecendo um sinal de controle para iniciar uma ou mais rotinas de processamento e/ou fornecendo energia para o detector de som a montante), como o detector de som de ativação 406.
[0097] O detector de som de ativação 406 é configurado para determinar se uma entrada de som inclui ao menos um certo conteúdo predeterminado (por exemplo, ao menos parte da palavra, frase ou som de ativação). Em algumas implementações, o detector de som de ativação 406 compara uma representação da entrada de som (uma "representação de entrada") com uma ou mais representações de referência da palavra de ativação. Se a representação de entrada corresponder a ao menos uma dentre as uma ou mais representações de referência com uma confiança aceitável, o detector de som de ativação 406 iniciará o serviço baseado em fala 408 (por exemplo, fornecendo um sinal de controle para iniciar um ou mais rotinas de processamento e/ou fornecendo energia para o detector de som a montante). Em algumas implementações, a representação de entrada e as uma ou mais representações de referência são espectrogramas (ou representações matemáticas dos mesmos), que representam como a densidade espectral de um sinal varia com o tempo. Em algumas implementações, as representações são outros tipos de ou assinaturas de áudio ou "impressões digitais" vocais. Em algumas implementações, iniciar o serviço baseado em fala 408 inclui as etapas de colocar um ou mais circuitos, programas e/ou processadores fora de um modo de espera, e solicitar o serviço baseado em som. O serviço baseado em som estará, então, pronto para fornecer reconhecimento de fala, processamento de fala para texto e/ou processamento de linguagem natural mais abrangentes. Em algumas implementações, o sistema de ativação por voz 400 inclui a funcionalidade de autenticação de voz, para poder determinar se uma entrada de som corresponde à voz de uma pessoa específica, como o proprietário ou um usuário do dispositivo. Por exemplo, em algumas implementações, o detector de tipo de som 404 usa uma técnica de biometria vocal para determinar que a entrada de som foi pronunciada por um usuário autorizado. A autenticação de voz e a biometria vocal são descritas em mais detalhes no pedido de patente U.S. n° 13/053.144, atribuído ao cessionário do presente pedido, o qual está aqui incorporado em sua totalidade, por referência. Em algumas implementações, a autenticação de voz está incluída em qualquer um dos detectores de som aqui descritos (por exemplo, o detector de som 402, o detector de tipo de som 404, o detector de som de ativação 406 e/ou o serviço baseado em fala 408). Em algumas implementações, a autenticação de voz é implementada como um módulo separado dos detectores de som relacionados acima (por exemplo, como o módulo de autenticação de voz 428, mostrado na Figura 4), e pode ser posicionado operacionalmente após o detector de som 402, após o detector de tipo de som 404, após o detector de som de ativação 406, ou em qualquer outra posição adequada.
[0098] Em algumas implementações, o detector de som de ativação 406 permanece ativo enquanto as condições de qualquer detector de som a montante (por exemplo, o detector de som 402 e/ou o detector de tipo de som 404) forem satisfeitas. Por exemplo, em algumas implementações, o detector de som de ativação 406 permanece ativo enquanto a entrada de som incluir som acima de um limiar predeterminado (conforme detectado pelo detector de som 402). Em algumas implementações, o detector permanece ativo enquanto a entrada de som incluir som de um certo tipo (conforme detectado pelo detector de tipo de som 404). Em algumas implementações, o detector permanece ativo enquanto ambas as condições acima forem satisfeitas.
[0099] Em algumas implementações, uma vez iniciado, o detector de som de ativação 406 permanece ativo até que uma condição seja satisfeita, como o término de um cronômetro (por exemplo, por 1, 2, 5 ou 10 segundos, ou qualquer outra duração apropriada), o término de um certo número de ciclos de ativação/desativação do detector de som de ativação 406, ou a ocorrência de um evento (por exemplo, a amplitude do som cai abaixo de um segundo limiar). Em algumas implementações, quando um detector de som inicia um outro detector, ambos os detectores de som permanecem ativos. Entretanto, os detectores de som podem estar ativos ou inativos em vários momentos, e não é necessário que todos os detectores de som a montante (por exemplo, de baixo consumo de energia e/ou sofisticação) estejam ativos (ou que suas respectivas condições sejam satisfeitas) para que os detectores de som a montante estejam ativos. Por exemplo, em algumas implementações, depois que o detector de som 402 e o detector de tipo de som 404 determinam que suas respectivas condições são satisfeitas, e o detector de som de ativação 406 é iniciado, um ou ambos dentre o detector de som 402 e o detector de tipo de som 404 são desativados e/ou entram em um modo de espera durante o funcionamento do detector de som de ativação 406. Em outras implementações, tanto o detector de som 402 como o detector de tipo de som 404 (ou um ou outro) permanecem ativos enquanto o detector de som de ativação 406 funciona. Em várias implementações, em diferentes combinações, os detectores de som estão ativos em momentos diferentes, e se um está ativo ou inativo pode depender do estado de outros detectores de som, ou pode ser independente do estado de outros detectores de som.
[0100] Embora a Figura 4 descreva três detectores de som separados, cada um configurado para detectar diferentes aspectos de uma entrada de som, mais ou menos detectores de som são usados em várias implementações do recurso de ativação por voz. Por exemplo, em algumas implementações, apenas o detector de som de ativação 406 é usado. Em algumas implementações, o detector de som de ativação 406 é usado em conjunto com o detector de som 402 ou o detector de tipo de som 404. Em algumas implementações, todos os detectores 402 a 406 são usados. Em algumas implementações, são incluídos, também, outros detectores de som.
[0101] Ademais, combinações diferentes de detectores de som podem ser usadas em momentos diferentes. Por exemplo, a combinação específica de detectores de som e a maneira como os mesmos interagem pode depender de uma ou mais condições, como o contexto ou o estado de funcionamento de um dispositivo. Como exemplo específico, se um dispositivo estiver conectado à rede elétrica (e, portanto, não depende exclusivamente da energia de uma bateria), o detector de som de ativação 406 estará ativo, enquanto o detector de som 402 e o detector de tipo de som 404 permanecerão inativos. Em outro exemplo, se o dispositivo estiver em um bolso ou mochila, todos os detectores de som estarão inativos. A disposição em cascata dos detectores de som conforme descrito acima, onde os detectores que exigem mais energia são solicitados apenas quando necessário pelos detectores que exigem menos energia, permite fornecer uma funcionalidade de ativação por voz mais eficiente em termos de consumo de energia. Como descrito anteriormente, pode-se conseguir menor consumo de energia mediante a operação de um ou mais dentre os detectores de som de acordo com um ciclo de trabalho. Por exemplo, em algumas implementações, o detector de som 402 funciona de acordo com um ciclo de trabalho de modo que o mesmo executa eficazmente a detecção contínua de ruído, mesmo que o detector de som esteja desativado durante ao menos parte do tempo. Em algumas implementações, o detector de som 402 permanece ativado por 10 milissegundos e desativado por 90 milissegundos. Em algumas implementações, o detector de som 402 permanece ativado por 20 milissegundos e desativado por 500 milissegundos. Outras durações dos estados "ativado" e "desativado" também são possíveis.
[0102] Em algumas implementações, se o detector de som 402 detectar um ruído durante seu intervalo "ativado", o detector de som 402 permanecerá ativado para processar e/ou analisar adicionalmente a entrada de som. Por exemplo, o detector de som detector 402 pode ser configurado para iniciar um detector de som a montante se detectar som acima de uma amplitude predeterminada durante uma quantidade de tempo predeterminada (por exemplo, 100 milissegundos). Dessa forma, se o detector de som 402 detectar som acima de uma amplitude predeterminada durante seu intervalo "ativado" de 10 milissegundos, o detector não entrará imediatamente n intervalo "desativado". Em vez disso, o detector de som 402 permanecerá ativo e continuará a processar a entrada de som para determinar se a mesma excede o limiar durante toda a duração predeterminada (por exemplo, 100 milissegundos).
[0103] Em algumas implementações, o detector de tipo de som 404 funciona de acordo com um ciclo de trabalho. Em algumas implementações, o detector de tipo de som 404 permanece ativado por 20 milissegundos e desativado por 100 milissegundos. Outras durações dos estados "ativado" e "desativado" também são possíveis. Em algumas implementações, o detector de tipo de som 404 pode determinar se a entrada de som corresponde a um tipo de som predeterminado dentro do intervalo "ativado" de seu ciclo de trabalho. Dessa forma, o detector de tipo de som 404 iniciará o detector de som de ativação 406 (ou qualquer outro detector de som a montante) se o detector de tipo de som 404 determinar, durante seu intervalo "ativado", que o som é de um certo tipo. Alternativamente, em algumas implementações, se o detector de tipo de som 404 detectar, durante o intervalo "ativado", som que possa corresponder ao tipo predeterminado, o detector não entrará imediatamente no intervalo "desativado". Em vez disso, o detector de tipo de som 404 permanecerá ativo e continuará a processar a entrada de som e determinar se a mesma corresponde ao tipo de som predeterminado. Em algumas implementações, se o detector de som determinar que foi detectado o tipo de som predeterminado, ele iniciará o detector de som de ativação 406 para processar adicionalmente a entrada de som e determinar se o som de ativação foi detectado. De modo similar ao detector de som 402 e ao detector de tipo de som 404, em algumas implementações, o detector de som de ativação 406 funciona de acordo com um ciclo de trabalho. Em algumas implementações, o detector de som de ativação 406 permanece ativado por 50 milissegundos e desativado por 50 milissegundos. Outras durações dos estados "ativado" e "desativado" também são possíveis. Se o detector de som de ativação 406 detectar, durante seu intervalo "ativado", que há som que possa corresponder a um som de ativação, o detector não entrará imediatamente no intervalo "desativado". Em vez disso, o detector de som de ativação 406 permanecerá ativo e continuará a processar a entrada de som e determinar se a mesma inclui o som de ativação. Em algumas implementações, se for detectado tal som, o detector de som de ativação 406 permanecerá ativo para processar o áudio durante uma duração predeterminada, como as 1, 2, 5 ou 10 segundos, ou qualquer outra duração adequada. Em algumas implementações, a duração é selecionada com base no comprimento da palavra ou som de ativação específico que o detector está configurado para detectar. Por exemplo, se a frase de ativação for "Ei, SIRI", o detector de palavra de ativação funcionará por cerca de 2 segundos para determinar se a entrada de som inclui essa frase.
[0104] Em algumas implementações, alguns dos detectores de som funcionam de acordo com um ciclo de trabalho, enquanto outros operam continuamente quando ativados. Por exemplo, em algumas implementações, apenas o primeiro detector de som funciona de acordo com um ciclo de trabalho (por exemplo, o detector de som 402 na Figura 4), e os detectores de som a montante funcionam continuamente depois de iniciados. Em algumas outras implementações, o detector de som 402 e o detector de tipo de som 404 funcionam de acordo com um ciclo de trabalho, enquanto o detector de som de ativação 406 funciona continuamente. O fato de um detector de som específico funcionar continuamente ou de acordo com um ciclo de trabalho depende de uma ou mais condições, como o contexto ou o estado de operação de um dispositivo. Em algumas implementações, se um dispositivo for conectado à rede elétrica e não depender exclusivamente da energia de uma bateria, todos os detectores de som funcionarão continuamente depois de iniciados. Em outras implementações, o detector de som 402 (ou qualquer um dos detectores de som) funcionará de acordo com um ciclo de trabalho se o dispositivo estiver em um bolso ou mochila (por exemplo, conforme determinado pelos sinais dos sensores e/ou microfone), mas funcionará continuamente quando for determinado que o dispositivo provavelmente não está guardado em um local fechado. Em algumas implementações, a condição de um detector de som específico funcionar continuamente ou de acordo com um ciclo de trabalho depende do nível de carga da bateria do dispositivo. Por exemplo, o detector de som 402 funcionará continuamente quando a carga da bateria for maior que 50%, e de acordo com um ciclo de trabalho quando a carga da bateria for menor que 50%. Em algumas implementações, o recurso de ativação por voz inclui funcionalidade de supressão de ruídos, eco e/ou som (aqui chamada coletivamente de "supressão de ruídos"). Em algumas implementações, a supressão de ruídos é executada pelo subsistema de áudio 226 (por exemplo, pelo PSD de áudio 412). A supressão de ruídos reduz ou elimina ruídos ou sons indesejados da entrada de som antes de a mesma ser processada pelos detectores de som. Em alguns casos, os ruídos indesejados são ruídos de segundo plano provenientes do ambiente do usuário, por exemplo um ventilador ou o pressionar de teclas em um telado. Em algumas implementações, os ruídos indesejados são quaisquer sons acima, abaixo ou nas mesmas amplitudes ou frequências que as predeterminadas. Por exemplo, em algumas implementações, um som acima da faixa vocal humana típica (por exemplo, 3.000 Hz) é filtrado ou removido do sinal. Em algumas implementações, são usados vários microfones (por exemplo, os microfones 230) para ajudar a determinar quais componentes do som recebido devem ser reduzidos e/ou eliminados. Por exemplo, em algumas implementações, o subsistema de áudio 226 usa técnicas de formação de feixes para identificar sons ou porções de entradas de som que parecem ter origem em um único ponto no espaço (por exemplo, na boca de um usuário). O subsistema de áudio 226 focaliza, então, nesse som removendo da entrada de som os sons que são recebidos igualmente por todos os microfones (por exemplo, som ambiente que não parece originar de nenhuma direção específica).
[0105] Em algumas implementações, o PSD 412 é configurado para cancelar ou remover da entrada de som os sons que são emitidos pelo dispositivo no qual o assistente digital está operando. Por exemplo, se a saída do subsistema de áudio 226 for música, rádio, um "podcast", uma saída de voz, ou qualquer outro conteúdo de áudio (por exemplo, através do alto-falante 228), o PSD 412 irá remover qualquer um dos sons emitidos que foram captados por um microfone e incluídos na entrada de som. Dessa forma, a entrada de som torna-se livre do áudio emitido (ou ao menos contém menos do áudio emitido). Consequentemente, a entrada de som que é fornecida aos detectores de som será mais limpa, e os recursos de ativação mais precisos. Outros aspectos da supressão de ruídos são descritos em mais detalhes na patente U.S. n° 7.272.224, atribuída ao cessionário do presente pedido, a qual está aqui incorporada, a título de referência, em sua totalidade.
[0106] Em algumas implementações, diferentes detectores de som exigem que a entrada de som seja filtrada e/ou pré-processada de maneiras diferentes. Por exemplo, em algumas implementações, o detector de som 402 é configurado para analisar sinais de áudio no domínio do tempo entre 60 e 20.000 Hz, e o detector de tipo de som é configurado para executar uma análise de sinais de áudio no domínio da frequência entre 60 e 3.000 Hz. Dessa forma, em algumas implementações, o PSD de áudio PSD 412 (e/ou outros PSDs de áudio do dispositivo 104) pré-processa o áudio recebido de acordo com as respectivas exigências dos detectores de som. Em algumas implementações, por outro lado, os detectores de som são configurados para filtrar e/ou pré-processar o áudio emitido pelo subsistema de áudio 226 de acordo com suas exigências específicas. Nesses casos, o PSD de áudio 412 ainda poderá executar a supressão de ruídos antes de fornecer a entrada de som para os detectores de som. Em algumas implementações, o contexto do dispositivo eletrônico é usado para ajudar a determinar se e como deve ser operado o recurso de ativação por voz. Por exemplo, pode ser improvável que os usuários solicitem um serviço baseado em fala, como um assistente digital baseado em voz, quando o dispositivo está guardado em seu bolso, bolsa ou mochila. Além disso, pode ser improvável que os usuários solicitem um serviço baseado em fala quando assistem a um concerto de rock. Para alguns usuários, é improvável que solicitem um serviço baseado em fala em certos momentos do dia (por exemplo, tarde da noite). Por outro lado, esses também são contextos nos quais é mais provável que um usuário irá solicitar um serviço baseado em fala utilizando um recurso de ativação por voz. Por exemplo, é mais provável que alguns usuários usem um recurso de ativação por voz quando estão ao volante, quando estão em casa sozinhos, quando estão trabalhando, ou em situações similares. São usadas várias técnicas para determinar o contexto de um dispositivo. Em várias implementações, o dispositivo usa informações fornecidas por qualquer um ou mais dentre os seguintes componentes ou fontes de informação para determinar o contexto de um dispositivo: receptores de GPS, sensores de luz, microfones, sensores de proximidade, sensores de orientação, sensores inerciais, câmeras, circuitos de comunicação e/ou antenas, circuitos de carga e/ou de alimentação, posições de interruptores, sensores de temperatura, bússolas, acelerômetros, calendários, preferências do usuário, etc. O contexto do dispositivo pode então ser usado para ajustar como e se o recurso de ativação por voz irá funcionar. Por exemplo, em certos contextos, o recurso de ativação por voz será desativado (ou funcionará em um modo diferente) enquanto esse contexto for mantido. Por exemplo, em algumas implementações, o recurso de ativação por voz é desativado quando o telefone está e uma orientação predeterminada (por exemplo, posicionado com a face voltada para baixo sobre uma superfície), durante períodos de tempo predeterminados (por exemplo, entre 22:00 e 8:00), quando o telefone está no modo "silencioso" ou no modo "não perturbe" (por exemplo, com base na posição de um interruptor, configuração de modo, ou preferência do usuário), quando o dispositivo está em um espaço substancialmente fechado (por exemplo, em um bolso, mala, bolsa, gaveta ou porta-luvas), quando o dispositivo está próximo de outros dispositivos equipados com um recurso de ativação por voz e/ou serviços baseado em fala (por exemplo, com base em sensores de proximidade, comunicação acústica/sem fio/radiação infravermelha), e similares. Em algumas implementações, em vez de ser desativado, o sistema de ativação por voz 400 funciona em um modo de baixo consumo de energia (por exemplo, ativando o detector de som 402 de acordo com um ciclo de trabalho com um intervalo "ativado" de 10 milissegundos e um intervalo "desativado" de 5 segundos). Em algumas implementações, um canal de áudio é monitorado com menos frequência quando o sistema de ativação por voz 400 funciona em um modo de baixo consumo de energia. Em algumas implementações, um recurso de ativação por voz usa um detector de som diferente ou uma combinação de detectores de som quando está em um modo de consumo de energia mais baixo do que quando está no modo normal. (O recurso de ativação por voz pode ser usado em vários modos ou estados de operação diferentes, em que cada um pode usar uma quantidade diferente de energia, e implementações diferentes os usarão de acordo com seus projetos específicos.)
[0107] Por outro lado, quando o dispositivo encontra-se em alguns outros contextos, o recurso de ativação por voz será ativado (ou funcionará em um outro modo) enquanto esse contexto for mantido. Por exemplo, em algumas implementações, o recurso de ativação por voz permanece ativo enquanto estiver conectado em uma fonte de energia, quando o telefone está em uma orientação predeterminada (por exemplo, posicionado com a face voltada para cima sobre uma superfície), durante períodos de tempo predeterminados (por exemplo, entre 8:00 e 22:00), quando o dispositivo está sendo transportado e/ou no interior de um veículo (por exemplo, com base nos sinais de GPS, conexão BLUETOOTH ou conexão de ancoragem ("dock") em um veículo, etc.), e em situações similares. Aspectos que detectam quando um dispositivo está em um veículo são descritos em mais detalhes no pedido provisório de patente U.S. n° 61/657.744, atribuído ao cessionário do presente pedido, o qual está aqui incorporado, a título de referência, em sua totalidade. Vários exemplos específicos de como determinar certos contextos são apresentados a seguir. Em várias modalidades, são utilizadas diferentes técnicas e/ou fontes de informação para detectar esses e outros contextos.
[0108] Como observado anteriormente, determinar se o sistema de ativação por voz 400 está ativo ou não (por exemplo, em modo de escuta) pode depender da orientação física de um dispositivo. Em algumas implementações, o recurso de ativação por voz está ativo quando o dispositivo está posicionado "com a face para cima" sobre uma superfície (por exemplo, com a tela e/ou a superfície sensível ao toque visíveis) e/ou está inativo quando está posicionado "com a face para baixo". Isso fornece a um usuário uma maneira fácil de ativar e/ou desativar o recurso de ativação por voz sem a necessidade de acessar menus de configurações, ou manipular chaves, interruptores ou botões. Em algumas implementações, o dispositivo detecta se está posicionado sobre uma superfície com a face voltada para cima ou para baixo utilizando sensores de luz (por exemplo, com base na diferença de luz incidente sobre a face frontal e a face posterior do dispositivo 104), sensores de proximidade, sensores magnéticos, acelerômetros, giroscópios, sensores de inclinação, câmeras e similares. Em algumas implementações, outros modos de operação, configurações, parâmetros ou preferências são afetados pela orientação e/ou posição do dispositivo. Em algumas implementações, a condição de o recurso de ativação por voz estar ouvindo um som, palavra ou frase de ativação específica depende da orientação e/ou posição do dispositivo. Por exemplo, em algumas implementações, o recurso de ativação por voz ouve uma primeira palavra, frase ou som de ativação quando o dispositivo está em uma orientação (por exemplo, posicionado com a face voltada para cima sobre uma superfície), e uma palavra, frase ou som de ativação diferente quando o dispositivo está em outra orientação (por exemplo, posicionado com a face voltada para baixo). Em algumas implementações, a frase de ativação para uma orientação "face para baixo" é mais longa e/ou mais complexa do que para uma orientação "face para cima". Dessa forma, um usuário pode colocar um dispositivo com a face voltada para baixo quando estiver perto de outras pessoas ou em um ambiente ruidoso para que o recurso de ativação por voz ainda permaneça operacional e ao mesmo tempo reduza falsas aceitações, que podem ser mais frequentes para palavras de ativação mais curtas ou mais simples. Como exemplo específico, uma frase de ativação com o dispositivo com a face voltada para cima pode ser "Ei, SIRI", enquanto uma frase de ativação com a face para baixo pode ser "Ei, SIRI, aqui é o André, acorde, por favor." A frase de ativação mais longa fornece também uma amostra de voz maior para os detectores de som e/ou autenticadores de voz processar e/ou analisar, aumentando, assim, a precisão do recurso de ativação por voz e diminuindo as falsas aceitações.
[0109] Em algumas implementações, o dispositivo 104 detecta se o mesmo se encontra em um veículo (por exemplo, um automóvel). Um recurso de ativação por voz é particularmente benéfico para solicitar um serviço baseado em fala quando o usuário se encontra em um veículo, uma vez que isso ajuda a reduzir as interações físicas que são necessárias para operar o dispositivo e/ou o serviço baseado em fala. De fato, um dos benefícios de um assistente digital baseado em voz é que o mesmo pode ser usado para executar tarefas para as quais olhar e tocar um dispositivo seria impraticável ou inseguro. Dessa forma, o recurso de ativação por voz pode ser usado quando o dispositivo está em um veículo de modo que o usuário não precise tocar o dispositivo para fazer uma solicitação ao assistente digital. Em algumas implementações, o dispositivo determina que se encontra em um veículo ao detectar que foi conectado e/ou pareado com um veículo, como através de uma conexão BLUETOOTH (ou outra conexão sem fio), ou através de um conector ou cabo de ancoragem ("dock"). Em algumas implementações, o dispositivo determina que se encontra em um veículo ao determinar a localização e/ou velocidade do dispositivo (por exemplo, com o uso de receptores de GPS, acelerômetros e/ou giroscópios). Se for determinado que o dispositivo está provavelmente em um veículo, porque está viajando a mais de 20 milhas por hora e for determinado que está viajando em uma rodovia, por exemplo, então o recurso de ativação por voz permanecerá ativo e/ou em um modo de alto consumo de energia ou estado mais sensível.
[0110] Em algumas implementações, o dispositivo detecta se está guardado (por exemplo, em um bolso, bolsa, mala, uma gaveta, ou similares) determinando se está em um espaço substancialmente fechado. Em algumas implementações, o dispositivo usa sensores de luz (por exemplo, sensores de luz ambiente específicos e/ou câmeras) para determinar que o mesmo está guardado em local fechado. Por exemplo, em algumas implementações, o dispositivo provavelmente será considerado guardado em local fechado se os sensores de luz detectarem pouca ou nenhuma luz. Em algumas implementações, a hora do dia e/ou a localização do dispositivo são também consideradas. Por exemplo, se os sensores de luz detectarem níveis baixos de luz quando forem esperados níveis altos (por exemplo, durante o dia), o dispositivo pode estar guardado em local fechado e o sistema de ativação por voz 400 não será, portanto, necessário. Dessa forma, o sistema de ativação por voz 400 será colocado em um estado de baixo consumo de energia ou em modo de espera. Em algumas implementações, a diferença na luz detectada pelos sensores situados em faces opostas de um dispositivo pode ser usada para determinar a posição do dispositivo e, portanto, se o mesmo está ou não guardado em local fechado. Especificamente, os usuários em geral tentam ativar um recurso de ativação por voz quando o dispositivo está posicionado sobre uma mesa ou outra superfície e não quando o mesmo está guardado em um bolso ou bolsa. Porém, quando um dispositivo é posicionado com a face voltada para baixo (ou para cima) sobre uma superfície como uma mesa ou outra superfície similar, uma face do dispositivo ficará obstruída de modo que pouca ou nenhuma luz incida sobre essa superfície, enquanto a outra superfície ficará exposta à luz ambiente. Dessa forma, se os sensores de luz nas faces frontal e posterior de um dispositivo detectarem níveis de luz significativamente diferentes, o dispositivo determinará que não se encontra em local fechado. Por outro lado, se sensores de luz em faces opostas detectarem os mesmos níveis ou níveis similares de luz, o dispositivo determinará que está em um espaço substancialmente fechado. Além disso, se os sensores de luz detectarem um baixo nível de luz durante o dia (ou quando o dispositivo espera que o telefone esteja em um ambiente claro), o dispositivo determinará com maior confiança que o mesmo se encontra em local fechado.
[0111] Em algumas implementações, são usadas outras técnicas (em vez de ou em adição a sensores de luz) para determinar se o dispositivo está em local fechado. Por exemplo, em algumas implementações, o dispositivo emite um ou mais sons (por exemplo, tons, estalidos, sibilos, etc.) de um alto-falante ou transdutor (por exemplo, o alto-falante 228), e monitora um ou mais microfones ou transdutores (por exemplo, o microfone 230) para detectar ecos do(s) som(ns) omitido(s). (Em algumas implementações, o dispositivo emite sinais inaudíveis, como sons fora do espectro sonoro humano.) A partir dos ecos, o dispositivo determina características do ambiente circundante. Por exemplo, um ambiente relativamente grande (por exemplo, uma sala ou um veículo) irá refletir o som de maneira diferente que um ambiente relativamente pequeno e fechado (por exemplo, um bolso, bolsa, mala, uma gaveta, ou similares).
[0112] Em algumas implementações, o sistema de ativação por voz 400 funcionará de maneira diferente se estiver próximo de outros dispositivos (como outros dispositivos equipados com recursos de ativação por voz e/ou serviços baseado em fala) do que se não estiver próximo de tais dispositivos. Isso pode ser útil, por exemplo, para desativar ou diminuir a sensibilidade do sistema de ativação por voz 400 quando muitos dispositivos estão próximos uns dos outros, de modo que se uma pessoa pronunciar uma palavra de ativação, outros dispositivos ao redor não serão ativados também. Em algumas implementações, um dispositivo determina a proximidade a outros dispositivos com o uso de identificação por radiofrequência (RFID), comunicações de campo próximo, sinais infravermelhos/acústicos, ou similares. Como observado anteriormente, os recursos de ativação por voz são particularmente úteis quando um dispositivo está funcionando em um modo "mãos livres", quando o usuário está, por exemplo, ao volante de um veículo. Nesses casos, os usuários frequentemente usam sistemas de áudio externos, como fones de ouvido com fio ou sem fio, relógios de pulso com alto-falantes e/ou microfones, microfones e alto-falantes embutidos de um veículo, etc., para liberá- los da necessidade de segurar um dispositivo próximo do rosto para fazer uma chamada ou ditar entradas de texto. Por exemplo, fones de ouvido sem fio e sistemas de áudio veiculares podem ser conectados a um dispositivo eletrônico via comunicação BLUETOOTH, ou qualquer outra conexão sem fio adequada. Todavia, pode ser ineficiente para um recurso de ativação por voz monitorar áudio recebido através de um acessório de áudio sem fio devido à energia necessária para manter um canal de áudio aberto com o acessório sem fio. Em particular, um fone de ouvido sem fio pode reter carga suficiente em sua bateria para proporcionar algumas horas de tempo de conversação contínua, e é, portanto, preferível reservar a bateria para quando o fone de ouvido for necessário para uma comunicação real, em vez de usá-la para simplesmente monitorar o som ambiente e aguardar por um possível som de ativação. Ademais, acessórios de fones de ouvido externos sem fio podem exigir uma quantidade significativamente maior de energia do que microfones a bordo, e manter o microfone do fone de ouvido ativado esgotará a carga da bateria do dispositivo. Isso é especialmente verdadeiro considerando- se que o som ambiente recebido pelo fone de ouvido, com ou sem fio, consiste tipicamente na ausência de sons ou em sons irrelevantes. Dessa forma, em algumas implementações, o sistema de ativação por voz 400 monitora áudio emitido pelo microfone 230 do dispositivo mesmo quando o dispositivo está acoplado a um microfone externo (com o sem fio). Então, quando o recurso de ativação por voz detectar a palavra de ativação, o dispositivo estabelece um link de áudio ativo com o microfone externo para receber entradas de som subsequentes (como um comando para um assistente digital baseado em voz) através do microfone externo em vez do microfone no dispositivo 230. Entretanto, quando certas condições são satisfeitas, um link de comunicação ativa pode ser mantido entre um sistema de áudio externo 416 (que pode ser acoplado comunicativamente com o dispositivo 104 através de fios ou via conexão sem fio) e o dispositivo de modo que o sistema de ativação por voz 400 possa ouvir um som de ativação via sistema de áudio externo 416 em vez (ou além) do microfone no dispositivo 230. Por exemplo, em algumas implementações, as características do movimento do dispositivo eletrônico e/ou do sistema de áudio externo 416 (por exemplo, conforme determinado por acelerômetros, giroscópios, etc., nos respectivos dispositivos) são usadas para determinar se o sistema de ativação por voz 400 deve monitorar som ambiente usando o microfone no dispositivo 230 ou um microfone externo 418. Especificamente, a diferença entre o movimento do dispositivo e do sistema de áudio externo 416 fornece informações sobre se o sistema de áudio externo 416 está realmente em uso. Por exemplo, se tanto o dispositivo como um fone de ouvido sem fio estiverem se movendo (ou não se movendo) de maneira substancialmente idêntica, pode ser determinado que o fone de ouvido não está ativo ou não está sendo usado pelo usuário. Isso pode ocorrer, por exemplo, porque ambos os dispositivos estão próximos um do outro e ociosos (por exemplo, estáticos sobre uma mesma ou guardados em um bolso, mala, bolsa, gaveta, etc.). Consequentemente, sob essas condições, o sistema de ativação por voz 400 monitora o microfone no dispositivo, porque é improvável que o fone de ouvido esteja realmente sendo usado. Contudo, se houver diferença de movimento entre o fone de ouvido sem fio e o dispositivo, será determinado que o fone de ouvido está sendo usado pelo usuário. Essas condições podem ocorrer, por exemplo, porque o dispositivo foi removido (por exemplo, colocado sobre uma superfície ou guardado em uma bolsa), enquanto o fone de ouvido ainda se encontra na cabeça do usuário (que provavelmente se moverá ao menos um pouco, mesmo quando o usuário estiver relativamente parado). Sob essas condições, como é provável que o fone de ouvido esteja sendo usado, o sistema de ativação por voz 400 mantém um link de comunicação ativa e monitorar o microfone 418 do fone de ouvido em vez (ou além) do microfone no dispositivo 230. E como essa técnica tem como foco a diferença de movimento do dispositivo e do fone de ouvido, o movimento que é comum a ambos os dispositivos pode ser anulado. Isso pode ser útil, por exemplo, quando um usuário está usando um fone de ouvido em um veículo em movimento, onde o dispositivo (por exemplo, um telefone celular) repousa no porta-copo, em um banco vazio, ou no bolso do usuário, e o fone de ouvido é usado na cabeça do usuário. Quando o movimento comum a ambos os dispositivos é anulado (por exemplo, o movimento do veículo), o movimento relativo do fone de ouvido em comparação ao do dispositivo (se houver) poderá ser determinado para determinar se o fone de ouvido está provavelmente em uso (ou se o fone de ouvido não está sendo usado). Embora a discussão acima se refira a fones de ouvido sem fio, técnicas similares são também aplicadas a fones de ouvido com fio.
[0113] Como as vozes das pessoas variam muito umas das outras, pode ser necessário ou benéfico ajustar um recurso de ativação por voz para aprimorar sua precisão em reconhecer a voz de um usuário específico. Além disso, as vozes das pessoas podem mudar ao longo do tempo, por exemplo, devido a uma condição de doença, a alterações naturais relacionadas com a idade ou a variações hormonais, e similares. Dessa forma, em algumas implementações, o sistema de ativação por voz 400 pode adaptar seus perfis de reconhecimento de voz e/ou sons para um usuário específico ou um grupo de usuários. Como descrito anteriormente, os detectores de som (por exemplo, o detector de tipo de som 404 e/ou o detector de som de ativação 406) podem ser configurados para comparar uma representação de uma entrada de som (por exemplo, o som ou declaração pronunciada por um usuário) com uma ou mais representações de referência. Por exemplo, se uma representação de entrada corresponder à representação de referência a um nível de confiança predeterminado, o detector de som determinará que a entrada de som corresponde a um tipo de som predeterminado (por exemplo, o detector de tipo de som 404), ou que a entrada de som inclui conteúdo predeterminado (por exemplo, o detector de som de ativação 406). Para sintonizar o sistema de ativação por voz 400, em algumas implementações, o dispositivo ajusta a representação de referência com a qual a representação de entrada é comparada. Em algumas implementações, a representação de referência é ajustada (ou criada) como parte de um procedimento de engajamento ou "treinamento" de voz, pelo qual um usuário produz o som de ativação várias vezes para que o dispositivo possa ajustar (ou criar) a representação de referência. O dispositivo pode, então, criar uma representação de referência usando a voz real da pessoa.
[0114] Em algumas implementações, o dispositivo usa sons de ativação que são recebidos sob condições normais de uso para ajustar a representação de referência. Por exemplo, após um evento bem- sucedido de ativação por voz (por exemplo, em que foi determinado que a entrada de som satisfaz todos os critérios de ativação) o dispositivo usará informações da entrada de som para ajustar e/ou sintonizar a representação de referência. Em algumas implementações, apenas as entradas de som que satisfazem todos ou alguns dos critérios de ativação com um certo grau de confiança são usadas para ajustar a representação de referência. Dessa forma, quando o recurso de ativação por voz tiver um grau de confiança menor que o de uma entrada de som que corresponde a ou inclui um som de ativação, essa entrada de voz poderá ser ignorada para os propósitos de ajuste da representação de referência. Por outro lado, em algumas implementações, as entradas de som que satisfizerem o sistema de ativação por voz 400 com um grau menor de confiança são usadas para ajustar a representação de referência.
[0115] Em algumas implementações, o dispositivo 104 ajusta iterativamente a representação de referência (usando essas ou outras técnicas) à medida que mais e mais entradas de som são recebidas de modo que até as menores alterações na voz de um usuário ao longo do tempo possam ser acomodadas. Por exemplo, em algumas implementações, o dispositivo 104 (e/ou dispositivos ou serviços associados) ajusta a representação de referência após cada ativação bem-sucedida. Em algumas implementações, o dispositivo 104 analisa a entrada de som associada a cada de ativação bem-sucedida e determina se as representações de referência devem ser ajustadas com base nessa entrada (por exemplo, se certas condições forem satisfeitas), e ajusta apenas a representação de referência se for adequado fazê-lo. Em algumas implementações, o dispositivo 104 mantém uma média móvel da representação de referência ao longo do tempo. Em algumas implementações, o sistema de ativação por voz 400 detecta sons que não satisfazem um ou mais critérios de ativação (por exemplo, conforme determinado por um ou mais dos detectores de som), mas que podem ser, de fato, tentativas feitas por um usuário não autorizado. Por exemplo, o sistema de ativação por voz 400 pode ser configurado para responder a uma frase de ativação como "Ei, SIRI", mas se a voz do usuário tiver alterado (por exemplo, devido a uma doença, idade, variação de inflexão/sotaque, etc.), o sistema de ativação por voz 400 poderá não reconhecer a tentativa do usuário de ativar o dispositivo. (Isso pode ocorrer também quando o sistema de ativação por voz 400 não foi sintonizado adequadamente para a voz desse usuário específico, como quando o sistema de ativação por voz 400 é ajustado para condições padrão e/ou o usuário não executou um procedimento de inicialização ou treinamento para personalizar o sistema de ativação por voz 400 para sua voz específica.) Se o sistema de ativação por voz 400 não responder à primeira tentativa do usuário de ativar o recurso de ativação por voz, o usuário provavelmente repetirá a frase de ativação. O dispositivo detecta que essas entradas de som repetidas são similares e/ou que são similares à frase de ativação (embora não suficientemente similares para fazer com que o sistema de ativação por voz 400 ative o serviço baseado em fala). Se tais condições forem satisfeitas, o dispositivo determinará que as entradas de som correspondem a tentativas válidas de ativar o sistema de ativação por voz 400. Consequentemente, em algumas implementações, o sistema de ativação por voz 400 usa essas entradas de som recebidas para ajustar um ou mais aspectos do sistema de ativação por voz 400 de modo que declarações similares pronunciadas pelo usuário serão aceitas como disparadores válidos no futuro. Em algumas implementações, essas entradas de som são usadas para adaptar o sistema de ativação por voz 400 apenas se certas condições ou combinações de condições forem satisfeitas. Por exemplo, em algumas implementações, as entradas de som são usadas para adaptar o sistema de ativação por voz 400 quando um número predeterminado de entradas de som é recebido em sequência (por exemplo, 2, 3, 4, 5, ou qualquer outro número adequado), quando as entradas de som são suficientemente similares à representação de referência, quando as entradas de som são suficientemente similares entre si, quando as entradas de som estão próximas umas das outras (por exemplo, quando são recebidas dentro de um período de tempo predeterminado e/ou dentro ou próximo de um intervalo predeterminado) e/ou qualquer combinação dessas ou outras condições. Em alguns casos, o sistema de ativação por voz 400 pode detectar uma ou mais entradas de som que não satisfazem um ou mais dos critérios de ativação, seguido do início manual do serviço baseado em fala (por exemplo, ao pressionar um botão ou ícone). Em algumas implementações, o sistema de ativação por voz 400 determina que, como o serviço baseado em fala foi iniciado logo depois de as entradas de som serem recebidas, as entradas de som correspondem, na verdade, a tentativas malsucedidas de ativação por voz. Consequentemente, o sistema de ativação por voz 400 usa essas entradas de som recebidas para ajustar um ou mais aspectos do sistema de ativação por voz 400 de modo que as declarações pronunciadas pelo usuário serão aceitas como disparadores válidos no futuro, conforme descrito anteriormente.
[0116] Embora as técnicas de adaptação descritas acima se refiram ao ajuste de uma representação de referência, outros aspectos das técnicas de detecção de som de ativação podem ser ajustados da mesma maneira ou de maneira similar em adição a, ou em vez de, ajustar a representação de referência. Por exemplo, em algumas implementações, o dispositivo ajusta como as entradas de som são filtradas e/ou quais filtros são aplicados às entradas de som, como focalizar em e/ou eliminar certas frequências ou faixas de frequências de uma entrada de som. Em algumas implementações, o dispositivo ajusta um algoritmo que é usado para comparar a representação de entrada com a representação de referência. Por exemplo, em algumas implementações, um ou mais termos de uma função matemática usada para determinar a diferença entre uma representação de entrada e uma representação de referência são alterados, adicionados ou removidos, ou uma função matemática diferente é substituída. Em algumas implementações, as técnicas de adaptação como as descritas acima exigem mais recursos que o sistema de ativação por voz 400 pode fornecer ou está configurado para fornecer. Em particular, os detectores de som podem ou não ter acesso à quantidade ou aos tipos de processadores, dados ou memória que são necessários para executar a adaptação iterativa de uma representação de referência e/ou um algoritmo de detecção de som (ou qualquer outro aspecto adequado do sistema de ativação por voz 400). Dessa forma, em algumas implementações, uma ou mais das técnicas de adaptação descritas anteriormente são executadas por um processador mais potente, como um processador de aplicativos (por exemplo, o(s) processador(es) 204), ou por outro dispositivo (por exemplo, o sistema de servidor 108). Entretanto, o sistema de ativação por voz 400 é projetado para funcionar mesmo quando o processador de aplicativos está em um modo de espera. Dessa forma, as entradas de som a serem usadas para adaptar o sistema de ativação por voz 400 são recebidas quando o processador de aplicativos não está ativo e não pode processar a entrada de som. Consequentemente, em algumas implementações, a entrada de som é armazenada pelo dispositivo de modo que possa ser processada e/ou analisada adicionalmente depois de recebida. Em algumas implementações, a entrada de som é armazenada no "buffer" de memória 414 do subsistema de áudio 226. Em algumas implementações, a entrada de som é armazenada na memória do sistema (por exemplo, a memória 250, mostrada na Figura 2) com o uso de técnicas de acesso direto à memória (DMA) (incluindo, por exemplo, com o uso de um mecanismo DMA de modo que os dados possam ser copiados ou movidos sem exigir que o processador de aplicativos seja iniciado). A entrada de som armazenada é, então, fornecida ou acessada pelo processador de aplicativos (ou o sistema de servidor 108, ou outro dispositivo adequado) depois de iniciado para que o processador de aplicativos possa executar uma ou mais dentre as técnicas de adaptação descritas acima.
[0117] As Figuras 5 a 7 ilustram fluxogramas representando métodos de operação de um recurso de ativação por voz, de acordo com certas implementações. Os métodos são, opcionalmente, governados pelas instruções armazenadas na memória de um computador ou mídia de armazenamento legível por computador não temporária (por exemplo, a memória 250 do dispositivo de cliente 104, a memória 302 associada ao sistema de assistente digital 300) e que são executadas por um ou mais processadores de um ou mais sistemas de computador de um sistema de assistente digital, incluindo, mas não se limitando a, o sistema de servidor 108 e/ou o dispositivo de usuário 104a. A mídia de armazenamento legível por computador pode incluir um dispositivo de armazenamento em disco magnético ou óptico, dispositivos de armazenamento de estado sólido como dispositivos de memória flash, ou outros dispositivos de memória não volátil. As instruções legíveis por computador armazenadas na mídia de armazenamento legível por computador podem incluir um ou mais dos seguintes itens: código-fonte, código de linguagem "assembly" (de montagem), código-objeto, ou outro formato de instrução que é interpretado por um ou mais processadores. Em várias implementações, algumas operações em cada método podem ser combinadas e/ou a sequência de algumas operações pode ser alterada em relação à sequência mostrada nas figuras. Além disso, em algumas implementações, as operações mostradas em figuras separadas e/ou discutidas em associação com métodos separados podem ser combinadas para formar outros métodos, e as operações mostradas na mesma figura e/ou discutidas em associação com o mesmo método podem ser separadas em diferentes métodos. Ademais, em algumas implementações, uma ou mais operações nos métodos são executadas pelos módulos do sistema de assistente digital 300 e/ou por um dispositivo eletrônico (por exemplo, o dispositivo de usuário 104), por exemplo o módulo de processamento de linguagem natural 332, o módulo de processamento de fluxo de diálogo 334, o subsistema de áudio 226, o detector de som 402, o detector de tipo de som 404, o detector de som de ativação 406, o serviço baseado em fala 408 e/ou quaisquer submódulos dos mesmos. A Figura 5 ilustra um método 500 de operação de um sistema de ativação por voz (por exemplo, o sistema de ativação por voz 400 da Figura 4), de acordo com algumas implementações. Em algumas implementações, o método 500 é executado em um dispositivo eletrônico que inclui um ou mais processadores e instruções de armazenamento em memória para execução dos um ou mais processadores (por exemplo, o dispositivo eletrônico 104). O dispositivo eletrônico recebe uma entrada de som (502). A entrada de som pode corresponder a uma declaração pronunciada pelo usuário (por exemplo, uma palavra, frase ou sentença), um som humano (por exemplo, assobio, estalar de língua, estalar de dedos, bater de palmas, etc.), ou qualquer outro som (por exemplo, um gorjeio gerado eletronicamente, uma matraca mecânica, etc.). Em algumas implementações, o dispositivo eletrônico recebe a entrada de som através do subsistema de áudio 226 (incluindo, por exemplo, o codec 410, PSD de áudio 412, e o "buffer" de memória 414, bem como os microfones 230 e 418, descritos com referência à Figura 4).
[0118] Em algumas implementações, o dispositivo eletrônico determina se a entrada de som satisfaz uma condição predeterminada (504). Em algumas implementações, o dispositivo eletrônico aplica análise de sinais no domínio do tempo à entrada de som para determinar se a entrada de som satisfaz a condição predeterminada. Por exemplo, o dispositivo eletrônico analisa a entrada de som ao longo de um período de tempo para determinar se a amplitude do som alcança um nível predeterminado. Em algumas implementações, o limiar será satisfeito se a amplitude (por exemplo, o volume) da entrada de som alcançar e/ou exceder um limiar predeterminado. Em algumas implementações, o limiar será satisfeito se a entrada de som alcançar e/ou exceder um limiar predeterminado durante uma quantidade de tempo predeterminada. Conforme discutido em mais detalhes abaixo, em algumas implementações, a determinação de se a entrada de som satisfaz a condição predeterminada (504) é executada por um terceiro detector de som (por exemplo, o detector de som 402). (Nesse caso, o terceiro detector de som é usado para diferenciar o detector de som de outros detectores de som (por exemplo, do primeiro e do segundo detectores de som que serão discutidos a seguir), e não indica necessariamente nenhuma posição ou sequência de operação dos detectores de som.)
[0119] O dispositivo eletrônico determina se a entrada de som corresponde a um tipo de som predeterminado (506). Como observado anteriormente, os sons são categorizados como "tipos" diferentes com base em certas características identificáveis dos mesmos. Determinar se a entrada de som corresponde a um tipo predeterminado inclui determinar se a entrada de som inclui ou exibe as características de um tipo específico. Em algumas implementações, o tipo de som predeterminado é uma voz humana. Em tais implementações, determinar se a entrada de som corresponde a uma voz humana inclui determinar se a entrada de som inclui características de frequência de uma voz humana (508). Conforme discutido em mais detalhes abaixo, em algumas implementações, a determinação de se a entrada de som corresponde a um tipo de som predeterminado (506) é executada por um primeiro detector de som (por exemplo, o detector de tipo de som 404). Após determinar que a entrada de som corresponde ao tipo de som predeterminado, o dispositivo eletrônico determina se a entrada de som inclui um conteúdo predeterminado (510). Em algumas implementações, o conteúdo predeterminado corresponde a um ou mais fonemas predeterminados (512). Em algumas implementações, os um ou mais fonemas predeterminados constituem ao menos uma palavra. Em algumas implementações, o conteúdo predeterminado é um som (por exemplo, um assobio, estalido, ou som de aplauso). Em algumas implementações, conforme discutido abaixo, a determinação de se a entrada de som inclui conteúdo predeterminado (510) é executada por um segundo detector de som (por exemplo, o detector de som de ativação 406).
[0120] Após determinar que a entrada de som inclui o conteúdo predeterminado, o dispositivo eletrônico inicia um serviço baseado em fala (514). Em algumas implementações, o serviço baseado em fala é um assistente digital baseado em voz, conforme descrito em detalhes anteriormente. Em algumas implementações, o serviço baseado em fala é um serviço de transcrição no qual entradas de fala são convertidas em texto e incluídas e/ou exibidas em um campo de entrada de texto (por exemplo, de um aplicativo de e-mail, mensagem de texto, processamento de texto ou anotações, etc.). Em implementações nas quais o serviço baseado em fala é um assistente digital baseado em voz, depois que o assistente digital baseado em voz é iniciado, é emitido um alerta ao usuário (por exemplo, sob a forma de um som ou um alerta de fala) indicando que o usuário pode fornecer uma entrada de voz e/ou comando ao assistente digital. Em algumas implementações, iniciar o assistente digital baseado em voz inclui ativar um processador de aplicativos (por exemplo, o(s) processador(es) 204 da Figura 2), iniciar um ou mais programas ou módulos (por exemplo, o módulo de cliente de assistente digital 264 da Figura 2) e/ou estabelecer uma conexão com servidores ou dispositivos remotos (por exemplo, o servidor de assistente digital 106 da Figura 1).
[0121] Em algumas implementações, o dispositivo eletrônico determina se a entrada de som corresponde à voz de um usuário específico (516). Por exemplo, uma ou mais técnicas de autenticação de voz são aplicadas à entrada de som para determinar se a mesma corresponde à voz de um usuário autorizado do dispositivo. As técnicas de autenticação de voz são descritas em mais detalhes acima. Em algumas implementações, a autenticação de voz é executada por um dos detectores de som (por exemplo, o detector de som de ativação 406). Em algumas implementações, a autenticação de voz é executada por um módulo de autenticação de voz exclusivo (inclusive qualquer hardware e/ou software adequado). Em algumas implementações, o serviço baseado em som é iniciado em resposta a uma determinação de que a entrada de som inclui o conteúdo predeterminado e corresponde à voz do usuário específico. Dessa forma, por exemplo, o serviço baseado em som (por exemplo, um assistente digital baseado em voz) será iniciado apenas quando a palavra ou frase de ativação for pronunciada por um usuário autorizado. Isso reduz a possibilidade de que o serviço seja solicitado por um usuário não autorizado, e pode ser particularmente útil quando vários dispositivos eletrônicos estão próximos uns dos outros, de modo que a declaração de um som de ativação pronunciada por um usuário não irá ativar o recurso de ativação por voz do dispositivo de outro usuário.
[0122] Em algumas implementações, onde o serviço baseado em fala é um assistente digital baseado em voz, em resposta à determinação de que a entrada de som inclui o conteúdo predeterminado, mas não corresponde à voz do usuário específico, o assistente digital baseado em voz é iniciado em um modo de acesso limitado. Em algumas implementações, o modo de acesso limitado permite que o assistente digital acesse apenas um subconjunto dos dados, serviços e/ou funcionalidade que o assistente digital possa, de outro modo, fornecer. Em algumas implementações, o modo de acesso limitado corresponde a um modo somente de gravação (por exemplo, de modo que um usuário não autorizado do assistente digital não possa acessar dados de calendários, listas de tarefas, contatos, fotografias, e-mails, mensagens de texto, etc.). Em algumas implementações, o modo de acesso limitado corresponde a uma instância em ambiente de segurança ("sandbox") de um serviço baseado em fala, de modo que o serviço baseado em fala não leia nem grave nos dados de um usuário, como os dados de usuário 266 no dispositivo 104 (Figura 2), ou em qualquer outro dispositivo (por exemplo, os dados de usuário 348 mostrados na Figura 3A, que podem ser armazenados em um servidor remoto, como o sistema de servidor 108 da Figura 1).
[0123] Em algumas implementações, em resposta a uma determinação de que a entrada de som inclui o conteúdo predeterminado corresponde à voz do usuário específico, o assistente digital baseado em voz emite uma mensagem que inclui o nome do usuário específico. Por exemplo, quando um usuário específico é identificado via autenticação de voz, o assistente digital baseado em voz pode emitir uma mensagem como "Como posso ajudá-lo, Peter?", em vez de uma mensagem mais genérica como um tom, um bipe ou uma mensagem de voz não personalizada. Como observado anteriormente, em algumas implementações, um primeiro detector de som determina se a entrada de som corresponde a um tipo de som predeterminado (na etapa 506), e um segundo detector de som determina se o detector de som inclui o conteúdo predeterminado (na etapa 510). Em algumas implementações, durante o funcionamento, o primeiro detector de som consome menos energia do que o segundo detector de som, por exemplo, porque o primeiro detector de som usa uma técnica que exige menos recursos de processamento do que o segundo detector de som. Em algumas implementações, o primeiro detector de som é o detector de tipo de som 404, e o segundo detector de som é o detector de som de ativação 406, sendo ambos aqui discutidos com referência à Figura 4. Em algumas implementações, quando estão em operação, o primeiro e/ou o segundo detector de som monitoram periodicamente um canal de áudio de acordo com um ciclo de trabalho, conforme descrito acima com referência à Figura 4.
[0124] Em algumas implementações, o primeiro e/ou o segundo detector de som executa análise de sinais no domínio da frequência da entrada de som. Por exemplo, esses detectores de som executam uma transformada de Laplace, transformada Z ou transformada de Fourier para gerar um espectro de frequência ou para determinar a densidade espectral da entrada de som ou de uma porção da mesma. Em algumas implementações, o primeiro detector de som é um detector de atividade de voz que é configurado para determinar se a entrada de som inclui frequências que são características de uma voz humana (ou outros recursos, aspectos ou propriedades da entrada de som que são característicos de uma voz humana).
[0125] Em algumas implementações, o segundo detector de som permanece desativado ou inativo até o primeiro detector de som detectar uma entrada de som do tipo predeterminado. Consequentemente, em algumas implementações, o método 500 inclui a ativação do segundo detector de som em resposta à determinação de que a entrada de som corresponde ao tipo predeterminado. (Em outras implementações, o segundo detector de som é iniciado em resposta a outras condições, ou é operado continuamente independentemente de uma determinação do primeiro detector de som.) Em algumas implementações, iniciar o segundo detector de som inclui ativar hardware e/ou software (por exemplo circuitos, processadores, programas, memória, etc.). Em algumas implementações, o segundo detector de som é operado (por exemplo, está ativo e monitora um canal de áudio) durante ao menos uma quantidade de tempo predeterminada depois de iniciado. Por exemplo, quando o primeiro detector de som determina que a entrada de som corresponde a um tipo predeterminado (por exemplo, inclui uma voz humana), o segundo detector de som é operado para determinar se a entrada de som também inclui o conteúdo predeterminado (por exemplo, a palavra de ativação). Em algumas implementações, a quantidade de tempo predeterminada corresponde à duração do conteúdo predeterminado. Dessa forma, se o conteúdo predeterminado for a frase "Ei, SIRI", a quantidade de tempo predeterminada será suficientemente longa para determinar se essa frase foi pronunciada (por exemplo, 1 ou 2 segundos, ou qualquer outra duração adequada). Se o conteúdo predeterminado for mais longo, como a frase "Ei, SIRI, por favor, acorde e me ajude", o tempo predeterminado será mais longo (por exemplo, 5 segundos, ou qualquer outra duração adequada). Em algumas implementações, o segundo detector de som é operado desde que o primeiro detector de som detecte um som correspondente ao tipo predeterminado. Em tais implementações, por exemplo, desde que o primeiro detector de som detecte fala humana em uma entrada de som, o segundo detector de som processará a entrada de som para determinar se a mesma inclui o conteúdo predeterminado.
[0126] Como observado anteriormente, em algumas implementações, um terceiro detector de som (por exemplo, o detector de som 402) determina se a entrada de som satisfaz uma condição predeterminada (na etapa 504). Em algumas implementações, o terceiro detector de som consome menos energia durante o funcionamento do que o primeiro detector de som. Em algumas implementações, o terceiro detector de som monitora periodicamente um canal de áudio de acordo com um ciclo de trabalho, conforme discutido acima com referência à Figura 4. Além disso, em algumas implementações, o terceiro detector de som executa análise de sinais no domínio do tempo da entrada de som. Em algumas implementações, o terceiro detector de som consome menos energia do que o primeiro detector de som porque a análise de sinais no domínio do tempo consome menos recursos de processamento que a análise de sinais no domínio da frequência aplicada pelo segundo detector de som.
[0127] De modo similar à discussão acima com relação à ativação do segundo detector de som (por exemplo, um detector de som de ativação 406) em resposta a uma determinação pelo primeiro detector de som (por exemplo, o detector de tipo de som 404), em algumas implementações, o primeiro detector de som é iniciado em resposta a uma determinação pelo terceiro detector de som (por exemplo, o detector de som 402). Por exemplo, em algumas implementações, o detector de tipo de som 404 é iniciado em resposta a uma determinação pelo detector de som 402 de que a entrada de som satisfaz uma condição predeterminada (por exemplo, está acima de um certo volume durante um período de tempo suficiente). Em algumas implementações, iniciar o primeiro detector de som inclui ativar hardware e/ou software (por exemplo, circuitos, processadores, programas, memória, etc.). Em outras implementações, o primeiro detector de som é iniciado em resposta a outras condições, ou é operado continuamente. Em algumas implementações, o dispositivo armazena na memória (518) ao menos uma porção da entrada de som. Em algumas implementações, a memória é o "buffer" de memória 414 do subsistema de áudio 226 (Figura 4). A entrada de som armazenada permite processamento em lotes (não tempo real) da entrada de som pelo dispositivo. Por exemplo, em algumas implementações, um ou mais dos detectores de som leem e/ou recebem a entrada de som armazenada para processá-la. Isso pode ser particularmente útil em casos em que um detector de som a montante (por exemplo, o detector de som de ativação 406) não é iniciado antes do final da recepção de uma entrada de som pelo subsistema de áudio 226. Em algumas implementações, a porção armazenada da entrada de som é fornecida ao serviço baseado em fala depois que mesmo é iniciado (520). Dessa forma, o serviço baseado em fala pode transcrever, processar ou, de outro modo, trabalhar com a porção armazenada da entrada de som, mesmo que o serviço baseado em fala não esteja completamente operacional até depois que a porção da entrada de som tenha sido recebida. Em algumas implementações, a porção armazenada da entrada de som é fornecida a um módulo de adaptação do dispositivo eletrônico.
[0128] Em várias implementações, as etapas (516) a (520) são executadas em posições diferentes no método 500. Por exemplo, em algumas implementações, uma ou mais dentre as etapas (516) a (520) são executadas entre as etapas (502) e (504), entre as etapas (510) e (514), ou em qualquer outra posição adequada.
[0129] A Figura 6 ilustra um método 600 de operação de um sistema de ativação por voz (por exemplo, o sistema de ativação por voz 400 da Figura 4), de acordo com algumas implementações. Em algumas implementações, o método 600 é executado em um dispositivo eletrônico que inclui um ou mais processadores e instruções de armazenamento em memória para execução dos um ou mais processadores (por exemplo, o dispositivo eletrônico 104). O dispositivo eletrônico determina se está em uma orientação predeterminada (602). Em algumas implementações, o dispositivo eletrônico detecta sua orientação com o uso de sensores de luz (inclusive câmeras), microfones, sensores de proximidade, sensores magnéticos, acelerômetros, giroscópios, sensores de inclinação, e similares. Por exemplo, o dispositivo eletrônico determina se o mesmo está posicionado com a face voltada para baixo ou para cima sobre uma superfície mediante comparando a quantidade de claridade da luz incidente sobre um sensor de uma câmera voltada para frente e a quantidade de claridade da luz incidente sobre um sensor de uma câmera voltada para trás. Se a quantidade e/ou claridade de luz detectada pela câmera voltada para frente for suficientemente maior que quantidade e/ou claridade de luz detectada pela câmera voltada para trás, o dispositivo eletrônico determinará que o mesmo está voltado para cima. Por outro lado, se a quantidade e/ou claridade de luz detectada pela câmera voltada para trás for suficientemente maior que a quantidade e/ou claridade de luz detectada pela câmera voltada para frente, o dispositivo determinará que o mesmo está voltado para baixo. Depois de determinar que está na orientação predeterminada, o dispositivo eletrônico ativa um modo predeterminado de um recurso de ativação por voz (604). Em algumas implementações, a orientação predeterminada corresponde a uma tela de exibição do dispositivo em uma posição substancialmente horizontal e voltada para baixo, e o modo predeterminado é um modo de espera (606). Por exemplo, em algumas implementações, se um smartphone ou tablet for colocado sobre uma mesa ou outra superfície similar de modo que a tela fique voltada para baixo, o recurso de ativação por voz será colocado em um modo de espera (por exemplo, desativado) para evitar a ativação acidental do recurso de ativação por voz.
[0130] Por outro lado, em algumas implementações, a orientação predeterminada corresponde a uma tela de exibição do dispositivo em uma posição substancialmente horizontal e voltada para cima, e o modo predeterminado é um modo de escuta (608). Dessa forma, por exemplo, se um smartphone ou tablet for colocado sobre uma mesa ou outra superfície similar de modo que a tela fique voltada para cima, o recurso de ativação por voz será colocado em um modo de escuta para que possa responder ao usuário quando detectar uma solicitação de ativação.
[0131] A Figura 7 ilustra um método 700 de operação de um recurso de ativação por voz (por exemplo, o sistema de ativação por voz 400 da Figura 4), de acordo com algumas implementações. Em algumas implementações, o método 700 é executado em um dispositivo eletrônico que inclui um ou mais processadores e instruções de armazenamento em memória para execução dos um ou mais processadores (por exemplo, o dispositivo eletrônico 104). O dispositivo eletrônico opera um recurso de ativação por voz (por exemplo, o sistema de ativação por voz 400) em um primeiro modo (702). Em algumas implementações, o primeiro modo é um modo normal de escuta.
[0132] O dispositivo eletrônico determina se o mesmo está em um espaço substancialmente fechado mediante a detecção de que um ou mais dentre um microfone e uma câmera do dispositivo eletrônico estão obstruídos (704). Em algumas implementações, um espaço substancialmente fechado inclui um bolso, bolsa, mala, gaveta, porta- luvas, pasta ou similares.
[0133] Como descrito anteriormente, em algumas implementações, um dispositivo detecta que um microfone está obstruído emitindo um ou mais sons (por exemplo, tons, estalidos, sibilos, etc.) de um alto-falante ou transdutor, e monitorando um ou mais microfones ou transdutores para detectar ecos do(s) som(ns) emitido(s). Por exemplo, um ambiente relativamente grande (por exemplo, uma sala ou um veículo) irá refletir o som de maneira diferente que um ambiente relativamente pequeno e substancialmente fechado (por exemplo, uma bolsa ou um bolso). Dessa forma, se o dispositivo detectar que o microfone (ou o alto-falante que emitiu os sons) está obstruído com base nos ecos (ou falta dos mesmos), o dispositivo determinará que está em um espaço substancialmente fechado. Em algumas implementações, o dispositivo detecta que um microfone está obstruído quando detecta que o microfone está captando um som característico de um espaço fechado. Por exemplo, quando um dispositivo está em um bolso, o microfone pode detectar um farfalhar característico causado pelo contato ou proximidade do microfone com o tecido do bolso. Em algumas implementações, um dispositivo detecta que uma câmera está obstruída com base no nível de luz recebida por um sensor, ou determinando se o mesmo captar uma imagem em foco. Por exemplo, se o sensor de uma câmera detectar um baixo nível de luz durante um período em que é esperado um alto nível de luz (por exemplo, durante do dia), então o dispositivo determinará que a câmera está obstruída, e que o dispositivo está em um espaço substancialmente fechado. Como outro exemplo, a câmera pode tentar captar uma imagem em foco em seu sensor. Em geral, isso seria difícil se a câmera estivesse em um local extremamente escuro (por exemplo, um bolso ou mochila), ou se estivesse perto demais do objeto no qual está tentando focalizar (por exemplo, o interior de uma bolsa ou mochila). Dessa forma, se não for capaz de captar uma imagem em foco, a câmera determinará que o dispositivo está em um espaço substancialmente fechado.
[0134] Ao determinar que está em um espaço substancialmente fechado, o dispositivo eletrônico alterna o recurso de ativação por voz para um segundo modo (706). Em algumas implementações, o segundo modo é um modo de espera (708). Em algumas implementações, quando no modo de espera, o sistema de ativação por voz 400 continua a monitorar o som ambiente, mas não responderá aos sons recebidos independentemente de os mesmos ativarem, de outro modo, o sistema de ativação por voz 400. Em algumas implementações, no modo de espera, o sistema de ativação por voz 400 está desativado e não processa áudio para detectar sons de ativação. Em algumas implementações, o segundo modo inclui a operação de um ou mais detectores de som de um sistema de ativação por voz 400 de acordo com um ciclo de trabalho diferente daquele do primeiro modo. Em algumas implementações, o segundo modo inclui a operação de uma combinação de detectores de som diferente daquela do primeiro modo.
[0135] Em algumas implementações, o segundo modo corresponde a um modo de monitoramento mais sensível, de modo que o sistema de ativação por voz 400 possa detectar e responder a um som de ativação mesmo que esteja em um espaço substancialmente fechado. Em algumas implementações, depois que o recurso de ativação por voz é alternado para o segundo modo, o dispositivo eletrônico executa verificações periódicas para determinar se ainda está em um espaço substancialmente fechado detectando se um ou mais dentre um microfone e uma câmera do dispositivo eletrônico estão obstruídos (por exemplo, com o uso de qualquer uma das técnicas descritas anteriormente com referência à etapa (704)). Se o dispositivo ainda estiver em um espaço substancialmente fechado, o sistema de ativação por voz 400 será mantido no segundo modo. Em algumas implementações, se o dispositivo for removido de um espaço substancialmente fechado, o dispositivo eletrônico retornará o recurso de ativação por voz ao primeiro modo.
[0136] De acordo com algumas implementações, a Figura 8 mostra um diagrama de blocos funcionais de um dispositivo eletrônico 800 configurado de acordo com os princípios da invenção, conforme descrito anteriormente. Os blocos funcionais do dispositivo podem ser implementados por hardware, software ou uma combinação de hardware e software para executar os princípios da invenção. O versado na técnica deverá entender que os blocos funcionais descritos na Figura 8 podem ser combinados ou separados em sub-blocos para implementar os princípios da invenção, conforme descrito anteriormente. Portanto, a presente descrição pode contemplar qualquer possível combinação ou separação ou definição adicional dos blocos funcionais aqui descritos.
[0137] Conforme mostrado na Figura 8, o dispositivo eletrônico 800 inclui uma unidade receptora de som 802 configurada para receber entradas de som. O dispositivo eletrônico 800 inclui também uma unidade de processamento 806 acoplada à unidade receptora de fala 802. Em algumas implementações, a unidade de processamento 806 inclui uma unidade detectora de ruído 808, uma unidade detectora de tipo de som 810, uma unidade detectora de som de ativação 812, uma unidade de ativação de serviço 814 e uma unidade de autenticação de voz 816. Em algumas implementações, a unidade detectora de ruído 808 corresponde ao detector de som 402 discutido acima, e é configurada para executar quaisquer operações descritas anteriormente com referência ao detector de som 402. Em algumas implementações, a unidade detectora de tipo de som 810 corresponde ao detector de tipo de som 404 discutido acima, e é configurada para executar quaisquer operações descritas anteriormente com referência a o detector de tipo de som 404. Em algumas implementações, a unidade detectora de som de ativação 812 corresponde ao detector de som de ativação 406 discutido acima, e é configurada para executar quaisquer operações descritas anteriormente com referência ao detector de som de ativação 406. Em algumas implementações, a unidade de autenticação de voz 816 corresponde ao módulo de autenticação de voz 428 discutido acima, e é configurada para executar quaisquer operações descritas anteriormente com referência ao módulo de autenticação de voz 428. A unidade de processamento 806 é configurada para: determinar se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado (por exemplo, com a unidade detectora de tipo de som 810); mediante a determinação de que ao menos uma porção da entrada de som corresponde ao tipo predeterminado, determinar se a entrada de som inclui conteúdo predeterminado (por exemplo, com a unidade detectora de som de ativação 812); e, mediante a determinação de que a entrada de som inclui o conteúdo predeterminado, iniciar um serviço baseado em fala (por exemplo, com a unidade de ativação de serviço 814).
[0138] Em algumas implementações, a unidade de processamento 806 é configurada também para, antes da determinação de se a entrada de som corresponde a um tipo de som predeterminado, determinar se a entrada de som satisfaz uma condição predeterminada (por exemplo, com a unidade detectora de ruído 808). Em algumas implementações, a unidade de processamento 806 é configurada também para determinar se a entrada de som corresponde à voz de um usuário específico (por exemplo, com a unidade de autenticação de voz 816).
[0139] De acordo com algumas implementações, a Figura 9 mostra um diagrama de blocos funcionais de um dispositivo eletrônico 900 configurado de acordo com os princípios da invenção, conforme descrito anteriormente. Os blocos funcionais do dispositivo podem ser implementados por hardware, software ou uma combinação de hardware e software para executar os princípios da invenção. O versado na técnica deverá entender que os blocos funcionais descritos na Figura 9 podem ser combinados ou separados em sub-blocos para implementar os princípios da invenção, conforme descrito anteriormente. Portanto, a presente descrição pode contemplar qualquer possível combinação ou separação ou definição adicional dos blocos funcionais aqui descritos.
[0140] Conforme mostrado na Figura 9, o dispositivo eletrônico 900 inclui uma unidade de ativação por voz 902. A unidade de ativação por voz 902 pode ser operada em vários modos diferentes. Em um primeiro modo, a unidade de ativação por voz recebe entradas de som e determina se as mesmas satisfazem certos critérios (por exemplo, um modo de escuta). Em um segundo modo, a unidade de ativação por voz 902 não recebe e/ou não processa entradas de som (por exemplo, um modo de espera). O dispositivo eletrônico 900 inclui também uma unidade de processamento 906 acoplada à unidade de ativação por voz 902. Em algumas implementações, a unidade de processamento 906 inclui uma unidade detectora de ambiente 908, que pode incluir e/ou fazer interface com um ou mais sensores (por exemplo, um microfone, uma câmera, um acelerômetro, um giroscópio, etc.) e uma unidade de mudança de modo 910. Em algumas implementações, a unidade de processamento 906 é configurada para: determinar se o dispositivo eletrônico está em um espaço substancialmente fechado mediante a detecção de que um ou mais dentre um microfone e uma câmera do dispositivo eletrônico estão obstruídos (por exemplo, com a unidade detectora de ambiente 908); e, mediante a determinação de que o dispositivo eletrônico está em um espaço substancialmente fechado, alternar o recurso de ativação por voz para um segundo modo (por exemplo, com a unidade de mudança de modo 910).
[0141] Em algumas implementações, a unidade de processamento é configurada para: determinar se o dispositivo eletrônico está em uma orientação predeterminada (por exemplo, com a unidade detectora de ambiente 908); e, mediante a determinação de que o dispositivo eletrônico está na orientação predeterminada, ativar um modo predeterminado de um recurso de ativação por voz (por exemplo, com a unidade de mudança de modo 910).
[0142] De acordo com algumas implementações, a Figura 10 mostra um diagrama de blocos funcionais de um dispositivo eletrônico 1000 configurado de acordo com os princípios da invenção, conforme descrito anteriormente. Os blocos funcionais do dispositivo podem ser implementados por hardware, software ou uma combinação de hardware e software para executar os princípios da invenção. O versado na técnica deverá entender que os blocos funcionais descritos na Figura 10 podem ser combinados ou separados em sub-blocos para implementar os princípios da invenção, conforme descrito anteriormente. Portanto, a presente descrição pode contemplar qualquer possível combinação ou separação ou definição adicional dos blocos funcionais aqui descritos.
[0143] Conforme mostrado na Figura 10, o dispositivo eletrônico 1000 inclui uma unidade de ativação por voz 1002. A unidade de ativação por voz 1002 pode ser operada em vários modos diferentes. Em um primeiro modo, a unidade de ativação por voz recebe entradas de som e determina se as mesmas satisfazem certos critérios (por exemplo, um modo de escuta). Em um segundo modo, a unidade de ativação por voz 1002 não recebe e/ou não processa entradas de som (por exemplo, um modo de espera). O dispositivo eletrônico 1000 inclui também uma unidade de processamento 1006 acoplada à unidade de ativação por voz 1002. Em algumas implementações, a unidade de processamento 1006 inclui uma unidade detectora de ambiente 1008, que pode incluir e/ou fazer interface com um microfone e/ou uma câmera, e uma unidade de mudança de modo 1010.
[0144] A unidade de processamento 1006 é configurada para: determinar se o dispositivo eletrônico está em um espaço substancialmente fechado mediante a detecção de que um ou mais dentre um microfone e uma câmera do dispositivo eletrônico estão obstruídos (por exemplo, com a unidade detectora de ambiente 1008); e, mediante a determinação de que o dispositivo eletrônico está em um espaço substancialmente fechado, alternar o recurso de ativação por voz para um segundo modo (por exemplo, com a unidade de mudança de modo 1010). A descrição supracitada, para fins de explicação, foi feita com referência a implementações específicas. Entretanto, as discussões ilustrativas acima não se destinam a ser exaustivas nem limitar as implementações apresentadas às formas exatas reveladas. Muitas modificações e variações são possíveis em vista dos ensinamentos acima. As implementações foram escolhidas e descritas com a finalidade de explicar, da melhor maneira possível, os princípios e aplicações práticas das ideias reveladas para, dessa forma, capacitar outros versados na técnica ao melhor uso das mesmas com várias modificações, conforme for adequado, ao uso específico aqui contemplado.
[0145] Os versados na técnica compreenderão que, embora os termos "primeiro", "segundo", etc. possam ser usados na presente invenção para descrever vários elementos, esses elementos não devem ser limitados por tais termos. Esses termos são usados apenas para distinguir um elemento de outro. Por exemplo, um primeiro detector de som poderia ser designado como um segundo detector de som, e, de modo similar, um segundo detector de som poderia ser designado como um primeiro detector de som, sem alteração de significado da descrição, desde que todas as ocorrências de "primeiro detector de som" sejam renomeadas de modo consistente e todas as ocorrências de "segundo detector de som" sejam igualmente renomeadas de modo consistente. O primeiro detector de som e o segundo detector de som são ambos detectores de som, mas não são o mesmo detector de som.
[0146] A terminologia usada nesta revelação tem o propósito de descrever implementações específicas somente e não se destina a limitar as concretizações. Como usado na descrição das implementações e das concretizações, as formas no singular dos artigos indefinidos "um", "uma" e dos artigos definidos "o", "a" destinam-se a incluir as respectivas formas do plural, a menos que o contexto indique claramente o contrário. Deve-se compreender também que o termo "e/ou", para uso na presente invenção, refere-se a e abrange qualquer e todas as possíveis combinações de um ou mais dentre os itens associados relacionados. Deve-se compreender, ainda, que os termos "compreende" e/ou "compreendendo", quando usados neste relatório descritivo, especificam a presença dos recursos, números inteiros, etapas, operações, elementos e/ou componentes declarados, mas não excluem a presença ou a adição de um ou mais outros recursos, números inteiros, etapas, operações, elementos, componentes e/ou grupos dos mesmos. Para uso na presente revelação, o termo "se" pode ser interpretado como significando "quando", ou "mediante", ou "em resposta à determinação", ou "de acordo com uma determinação", ou "em resposta à detecção", que o precedente de uma condição especificada é verdadeiro, dependendo do contexto. De modo similar, a frase "se for determinado [que o precedente de uma condição declarada é verdadeiro]", ou "se [o precedente de uma condição declarada for verdadeiro]", ou "quando [o precedente de uma condição declarada for verdadeiro]" pode ser interpretada como significando "mediante a determinação", ou "mediante uma determinação de que", ou "em resposta à determinação", ou "de acordo com a determinação", ou "mediante a detecção", ou "em resposta à detecção" que o precedente de uma condição declarada é verdadeiro, dependendo do contexto.
Claims (24)
1. Método de operação de um recurso de ativação por voz (500, 600, 700), executado em um dispositivo eletrônico (104, 800, 900, 1000) que inclui um ou mais processadores (204) e instruções de armazenamento em memória (202) para execução pelo um ou mais processadores (204), o método (500, 600, 700) caracterizado pelo fato de que compreende as etapas de: determinar, com base em uma comparação de uma quantidade de luz detectada em pelo menos uma superfície frontal do dispositivo eletrônico (104, 800, 900, 1000) a uma quantidade limite de luz, se deve operar o recurso de ativação por voz (500, 600, 700) em um modo de espera ou em um modo de escuta; de acordo com uma determinação para operar o recurso de ativação por voz (500, 600, 700) no modo de escuta: receber (502) uma entrada de som; gerar uma representação de entrada da entrada de som, em que a representação de entrada representa assinaturas de áudio da entrada de som; determinar (506) se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado; mediante a determinação de que ao menos a porção da entrada de som corresponde ao tipo predeterminado, determinar (510) se a entrada de som inclui conteúdo predeterminado com base em uma comparação da representação de entrada da entrada de som com uma ou mais representações de referência; mediante uma determinação de que a entrada de som inclui o conteúdo predeterminado, gerar um sinal de controle compreendendo instruções para iniciar um serviço baseado em fala; e iniciar (514) o serviço baseado em fala com base no sinal de controle; e de acordo com uma determinação para operar o recurso de ativação por voz (500, 600, 700) no modo de espera, recusar de iniciar o serviço baseado em fala com base em uma entrada de som recebida.
2. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que a determinação (506) de se a entrada de som corresponde a um tipo de som predeterminado é feita por um primeiro detector de som (404), a determinação de se a entrada de som inclui um conteúdo predeterminado (510) é executada por um segundo detector de som (406), e em que o primeiro detector de som (404) consome menos energia durante o funcionamento do que o segundo detector de som (406).
3. Método (500, 600, 700), de acordo com a reivindicação 2, caracterizado pelo fato de que o segundo detector de som (406) é iniciado em resposta a uma determinação (506) pelo primeiro detector de som (404) de que a entrada de som corresponde ao tipo predeterminado.
4. Método (500, 600, 700), de acordo com a reivindicação 2, caracterizado pelo fato de que segundo detector de som (406) é operado por ao menos uma quantidade de tempo predeterminada após uma determinação (506) pelo primeiro detector de som (404) de que a entrada de som corresponde ao tipo predeterminado.
5. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que o tipo predeterminado é uma voz humana e o conteúdo predeterminado é uma ou mais palavras.
6. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que o conteúdo predeterminado é um ou mais fonemas predeterminados (512).
7. Método (500, 600, 700), de acordo com a reivindicação 6, caracterizado pelo fato de que os um ou mais fonemas predeterminados constituírem ao menos uma palavra.
8. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que compreende adicionalmente, antes da determinação de a entrada de som corresponder ou não a um tipo de som predeterminado, determinar (504) se a entrada de som satisfaz uma condição predeterminada.
9. Método (500, 600, 700), de acordo com a reivindicação 8, caracterizado pelo fato de que a condição predeterminada ser um limiar de amplitude.
10. Método (500, 600, 700), de acordo com a reivindicação 8, caracterizado pelo fato de que a determinação de a entrada de som satisfazer ou não uma condição predeterminada é feita por um terceiro detector de som (402), o terceiro detector de som (402) consome menos energia durante o funcionamento do que o primeiro detector de som (404).
11. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que compreende adicionalmente as etapas de: armazenar (518) em memória (202) ao menos uma porção da entrada de som; e fornecer (520) a porção da entrada de som ao serviço baseado em fala depois que o serviço baseado em fala for iniciado.
12. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que compreende, adicionalmente, determinar (516) se a entrada de som corresponde à voz de um usuário específico.
13. Método (500, 600, 700), de acordo com a reivindicação 12, caracterizado pelo fato de que o serviço baseado em fala ser iniciado mediante a determinação (510, 516) de que a entrada de som inclui o conteúdo predeterminado e que a entrada de som corresponde à voz do usuário específico.
14. Método (500, 600, 700), de acordo com a reivindicação 13, caracterizado pelo fato de que o serviço baseado em fala é iniciado em um modo de acesso limitado mediante a determinação (510) de que a entrada de som inclui o conteúdo predeterminado e que a entrada de som não corresponde à voz do usuário específico.
15. Método (500, 600, 700), de acordo com a reivindicação 13, caracterizado pelo fato de que compreende adicionalmente, mediante a determinação (516) de que a entrada de som corresponde à voz do usuário específico, emitir uma mensagem de voz que inclui o nome do usuário específico.
16. Método (500, 600, 700), de acordo com a reivindicação 1, caracterizado pelo fato de que compreende adicionalmente as etapas de: determinar (602) se o dispositivo eletrônico (104, 800, 900, 1000) está em uma orientação predeterminada; e mediante a determinação de que o dispositivo eletrônico (104, 800, 900, 1000) está na orientação predeterminada, ativar (604) um modo predeterminado do recurso de ativação por voz.
17. Método de operação de um recurso de ativação por voz (500, 600, 700), executado em um dispositivo eletrônico (104, 800, 900, 1000) que inclui um ou mais processadores (204) e instruções de armazenamento em memória (202) para execução dos um ou mais processadores (204), o método (500, 600, 700) caracterizado pelo fato de que compreende as etapas de: operar (702) um recurso de ativação por voz (500, 600, 700) em um primeiro modo; determinar (704) se o dispositivo eletrônico (104, 800, 900, 1000) está em um espaço pelo menos parcialmente fechado por meio da detecção de que um ou mais dentre um microfone e uma câmera do dispositivo eletrônico (104, 800, 900, 1000) estão obstruídos, sendo que uma frase de ativação associada com o recurso de ativação por voz (500, 600, 700) está adaptada com base na determinação de se o dispositivo eletrônico (104, 800, 900, 1000) está em um espaço pelo menos parcialmente fechado; mediante a determinação de que o dispositivo eletrônico (104, 800, 900, 1000) está no espaço pelo menos parcialmente fechado, gerar instruções para alternar o recurso de ativação por voz (500, 600, 700) para um segundo modo; e alternar (706) o recurso de ativação por voz (500, 600, 700) para o segundo modo com base nas instruções.
18. Método (500, 600, 700), de acordo com a reivindicação 17, caracterizado pelo fato de que o segundo modo é um modo de espera.
19. Método (500, 600, 700), de acordo com qualquer das reivindicações 17, caracterizado pelo fato de que o primeiro modo é um modo de escuta.
20. Método (500, 600, 700) de operação de um recurso de ativação por voz (500, 600, 700), executado em um dispositivo eletrônico (104, 800, 900, 1000) que inclui um ou mais processadores (204) e instruções de armazenamento em memória (202) para execução dos um ou mais processadores (204), o método (500, 600, 700) caracterizado pelo fato de que compreende as etapas de: determinar (602) se o dispositivo eletrônico (104, 800, 900, 1000) está em uma orientação predeterminada, sendo que a orientação predeterminada corresponde a uma exibição do dispositivo eletrônico (104, 800, 900, 1000) sendo horizontal e voltada para baixo; mediante uma determinação de que o dispositivo eletrônico (104, 800, 900, 1000) está na orientação predeterminada, gerar instruções para ativar um modo predeterminado de um recurso de ativação por voz (500, 600, 700), sendo que o modo predeterminado é um modo de espera; e ativar (604) o modo predeterminado de um recurso de ativação por voz (500, 600, 700) com base nas instruções.
21. Método (500, 600, 700), de acordo com a reivindicação 20, caracterizado pelo fato de que determinar se o dispositivo eletrônico (104, 800, 900, 1000) está em uma segunda orientação predeterminada, a segunda orientação predeterminada correspondendo a uma tela de exibição do dispositivo em uma posição sendo substancialmente horizontal e voltada para cima; e mediante uma determinação de que o dispositivo eletrônico está na segunda orientação predeterminada, ativar um segundo modo predeterminado do recurso de ativação por voz (500, 600, 700), o segundo modo predeterminado sendo um modo de espera (606).
22. Mídia de armazenamento legível por computador, caracterizada pelo fato de que armazena um ou mais métodos para execução por um ou mais processadores (204) de um dispositivo eletrônico (104, 800, 900, 1000), os um ou mais métodos sendo para: determinar, com base em uma comparação de uma quantidade de luz detectada em pelo menos uma superfície frontal do dispositivo eletrônico (104, 800, 900, 1000) a uma quantidade limite de luz, se deve operar o recurso de ativação por voz (500, 600, 700) em um modo de espera ou em um modo de escuta; de acordo com uma determinação para operar o recurso de ativação por voz (500, 600, 700) no modo de escuta: receber (502) uma entrada de som; gerar uma representação de entrada da entrada de som, em que a representação de entrada representa assinaturas de áudio da entrada de som; determinar (506) se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado; mediante a determinação de que ao menos a porção da entrada de som corresponde ao tipo predeterminado, determinar (510) se a entrada de som inclui conteúdo predeterminado com base em uma comparação da representação de entrada da entrada de som com uma ou mais representações de referência; mediante uma determinação de que a entrada de som inclui o conteúdo predeterminado, gerar um sinal de controle compreendendo instruções para iniciar um serviço baseado em fala; e iniciar (514) o serviço baseado em fala com base no sinal de controle; e de acordo com uma determinação para operar o recurso de ativação por voz (500, 600, 700) no modo de espera, recusar de iniciar o serviço baseado em fala com base em uma entrada de som recebida.
23. Dispositivo eletrônico (104, 800, 900, 1000) caracterizado pelo fato de que compreende: um ou mais processadores (204); memória (202); e um ou mais métodos, em que os um ou mais métodos são armazenados na memória (202) e configurados para serem executados pelos um ou mais processadores (204), os um ou mais métodos sendo para: determinar, com base em uma comparação de uma quantidade de luz detectada em pelo menos uma superfície frontal do dispositivo eletrônico (104, 800, 900, 1000) a uma quantidade limite de luz, se deve operar o recurso de ativação por voz (500, 600, 700) em um modo de espera ou em um modo de escuta; de acordo com uma determinação para operar o recurso de ativação por voz (500, 600, 700) no modo de escuta: receber (502) uma entrada de som; gerar uma representação de entrada da entrada de som, em que a representação de entrada representa assinaturas de áudio da entrada de som; determinar (506) se ao menos uma porção da entrada de som corresponde a um tipo de som predeterminado; mediante a determinação de que ao menos a porção da entrada de som corresponde ao tipo predeterminado, determinar (510) se a entrada de som inclui conteúdo predeterminado com base em uma comparação da representação de entrada da entrada de som com uma ou mais representações de referência; mediante uma determinação de que a entrada de som inclui o conteúdo predeterminado, gerar um sinal de controle compreendendo instruções para iniciar um serviço baseado em fala; e iniciar (514) o serviço baseado em fala com base no sinal de controle; e de acordo com uma determinação para operar o recurso de ativação por voz (500, 600, 700) no modo de espera, recusar de iniciar o serviço baseado em fala com base em uma entrada de som recebida.
24. Dispositivo eletrônico (104, 800, 900, 1000), de acordo com a reivindicação 23, caracterizado pelo fato de que os um ou mais métodos são ainda para: antes da determinação de a entrada de som corresponder ou não a um tipo de som predeterminado, determinar (504) se a entrada de som satisfaz uma condição predeterminada.
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