WO2017071070A1 - 智能设备的语音控制方法、装置、控制设备及智能设备 - Google Patents

智能设备的语音控制方法、装置、控制设备及智能设备 Download PDF

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Publication number
WO2017071070A1
WO2017071070A1 PCT/CN2015/099361 CN2015099361W WO2017071070A1 WO 2017071070 A1 WO2017071070 A1 WO 2017071070A1 CN 2015099361 W CN2015099361 W CN 2015099361W WO 2017071070 A1 WO2017071070 A1 WO 2017071070A1
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Prior art keywords
voice data
smart device
module
smart
submodule
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Ceased
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PCT/CN2015/099361
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English (en)
French (fr)
Inventor
高斯太
丁一
侯恩星
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Xiaomi Inc
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Xiaomi Inc
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Priority to KR1020167004543A priority Critical patent/KR101767203B1/ko
Priority to JP2017547053A priority patent/JP6389014B2/ja
Priority to RU2016114155A priority patent/RU2647093C2/ru
Priority to MX2016004776A priority patent/MX359890B/es
Publication of WO2017071070A1 publication Critical patent/WO2017071070A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G05—CONTROLLING; REGULATING
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    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
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    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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    • G—PHYSICS
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    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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    • G08C2201/90—Additional features
    • G08C2201/91—Remote control based on location and proximity
    • G—PHYSICS
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    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C2201/00—Transmission systems of control signals via wireless link
    • G08C2201/90—Additional features
    • G08C2201/93—Remote control using other portable devices, e.g. mobile phone, PDA, laptop
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02166—Microphone arrays; Beamforming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities

Definitions

  • the present disclosure relates to the field of smart home technologies, and in particular, to a voice control method, device, control device, and smart device of a smart device.
  • the current speech recognition technology uses the best performance processing chip with an omnidirectional microphone, which can reach a recognition distance of three meters under ideal conditions.
  • a plurality of microphones are set at different positions in the conference room, and the sound collected by each microphone is processed to achieve a better voice recognition effect.
  • the present disclosure provides a voice control method, apparatus, control device, and smart device of a smart device.
  • a voice control method of a smart device including:
  • the receiving the voice data respectively returned by the multiple smart devices includes:
  • the method before the receiving the voice data returned by the multiple smart devices at different locations, the method further includes:
  • the determining, by the smart device having the recording function, the smart device to be activated including:
  • the determining, by the smart device having the recording function, the smart device to be activated including:
  • a smart device having a recording function located within a set range including the location of the user is determined as a smart device to be activated.
  • the method further includes:
  • a smart device to be activated is determined based on the historical usage data.
  • the historical usage data includes: one or more of a usage frequency, a last usage time, and a total usage duration.
  • processing the plurality of the voice data to obtain optimized voice data includes:
  • a plurality of the voice data are processed based on a beamforming technique to obtain optimized voice data.
  • controlling the smart device corresponding to the voice data based on the optimized voice data includes:
  • Transmitting the optimized voice data to the infrared remote control device so that the infrared remote control device searches for a corresponding control instruction based on the voice information in the optimized voice data, and searches for a corresponding infrared code based on the device name in the optimized voice data. And transmitting the control command to the infrared code.
  • controlling the smart device corresponding to the voice data based on the optimized voice data includes:
  • the remote control device further causes the infrared remote control device to send the control command to the infrared code corresponding to the device name.
  • a voice control method for a smart device including:
  • the method before the collecting the voice data, the method includes:
  • the opening command sent based on the control device is turned on.
  • a voice control apparatus for a smart device includes: a receiving module, a processing module, and a control module;
  • the receiving module is configured to receive voice data respectively returned by multiple smart devices
  • the processing module is configured to process the plurality of the voice data received by the receiving module to obtain optimized voice data
  • the control module is configured to control the number of voices based on the optimized voice data obtained by the processing module According to the corresponding smart device.
  • the receiving module includes: a receiving submodule
  • the receiving submodule is configured to receive voice data respectively returned by multiple smart devices located at different locations.
  • the device further includes: a reading module, a first determining module, a second determining module, and an opening module;
  • the reading module is configured to read basic information of the smart device bound by the application
  • the first determining module is configured to determine a smart device having a recording function based on basic information read by the reading module;
  • the second determining module is configured to determine, from the smart device having the recording function determined by the first determining module, the smart device to be activated;
  • the opening module is configured to send an opening instruction to the smart device determined to be activated by the second determining module to enable the smart device.
  • the second determining module includes: a display submodule and a first determining submodule;
  • the display submodule is configured to display a list of smart devices having a recording function
  • the first determining submodule is configured to determine a smart device selected by the user as a smart device to be started to perform a recording function based on a selection operation in a list displayed by the user for the display submodule.
  • the second determining module includes: a positioning submodule, a searching submodule, and a second determining submodule;
  • the positioning submodule is configured to determine a location of the user based on a positioning technology
  • the search submodule is configured to search for a location of each of the pre-stored smart devices having a recording function
  • the second determining submodule is configured to determine a smart device having a recording function within a setting range including a location of a user to which the positioning submodule is located, as a smart device to be activated.
  • the second determining module further includes: a reading submodule and a third determining submodule;
  • the reading sub-module is configured to read, when the number of the smart devices determined by the second determining sub-module exceeds a set threshold, a smart device with a recording function located within the set range Historical usage data;
  • the third determining submodule is configured to determine a smart device to be activated based on historical usage data read by the reading submodule.
  • the historical usage data read by the reading submodule includes: one or more of a usage frequency, a last usage time, and a total usage duration.
  • the processing module includes: a processing submodule
  • the processing submodule is configured to process the plurality of the voice data received by the receiving module based on a beamforming technology to obtain optimized voice data.
  • control module includes: a first sending submodule
  • the first sending submodule is configured to send the optimized voice data obtained by the processing module to an infrared remote control device, so that the infrared remote control device searches for corresponding control based on the voice information in the optimized voice data. And instructing, by searching for a corresponding infrared code based on the device name in the optimized voice data, and transmitting the control instruction to the infrared code.
  • control module includes: a second sending submodule
  • the second sending submodule is configured to send the optimized voice data obtained by the processing module to a server, so that the server searches for a corresponding control instruction based on the voice information in the optimized voice data, and the The control instruction and the device name in the optimized voice data are sent to the infrared remote control device, and further the infrared remote control device sends the control command to the infrared code corresponding to the device name.
  • a voice control apparatus for a smart device including: an acquisition module and a sending module;
  • the collecting module is configured to collect voice data
  • the sending module is configured to send the voice data collected by the collecting module to the control device, so that the control device controls the smart device corresponding to the voice data based on the voice data.
  • the device further includes: an opening module;
  • the opening module is configured to be turned on based on an open command sent by the control device.
  • a control device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to:
  • a smart device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to:
  • control device can process the voice data from different locations to obtain optimized voice data, and control the smart device corresponding to the optimized voice data based on the optimized voice data, thereby implementing voice control on the smart device.
  • User-controlled smart devices provide convenience and optimize the user experience.
  • control device can receive the voice data collected by the smart device located at multiple locations, and process the voice data from different locations to obtain optimized voice data, thereby ensuring the quality of the voice data and ensuring the accuracy of the voice recognition. , realizes voice control of smart devices.
  • control device may first determine the smart device having the recording function, and then determine the smart device to be activated from the smart device having the recording function, thereby ensuring that the activated smart device can record.
  • control device can determine the smart device to be activated based on the user's selection, which is more in line with the user's needs and improves the user experience.
  • control device can locate the user and then determine the smart device to be activated based on the location of the user, which can ensure that the smart device to be activated is closer to the user, thereby ensuring clearer collection.
  • the voice data improves the recognition of the subsequent optimized voice data and ensures precise control of the smart device.
  • the control device in the present disclosure can also determine the smart device to be activated in combination with the historical usage data of the smart device. Since the historical usage data can reflect the performance of the smart device to a certain extent, the quality of the recorded voice data can be guaranteed.
  • control device can transmit the optimized voice data to the infrared remote control center, and the infrared remote control center realizes precise voice control of the smart device.
  • the smart device can send the collected voice data to the control device, so that the control device can control the smart device corresponding to the voice data based on the voice data and the voice data collected by multiple smart devices located at other locations, thereby implementing Accurate voice control of smart devices optimizes user experience.
  • FIG. 1 is a flowchart of a voice control method of a smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 2 is a flowchart of a voice control method of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 3 is a flowchart of a voice control method of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 4 is a schematic diagram of a voice control application scenario of a smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 5 is a block diagram of a voice control apparatus of a smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 6 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 7 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 8 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 9 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 10 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 11 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 12 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 13 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 14 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 15 is a block diagram of a voice control apparatus of another smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 16 is a schematic structural diagram of a voice control apparatus for a smart device according to an exemplary embodiment of the present disclosure.
  • FIG. 17 is a schematic structural diagram of a voice control apparatus for a smart device according to an exemplary embodiment of the present disclosure.
  • first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as second information without departing from the scope of the present disclosure.
  • second information may also be referred to as first information.
  • word "if” as used herein may be interpreted as "when” or “when” or “in response to a determination.”
  • FIG. 1 is a flowchart of a voice control method of a smart device according to an exemplary embodiment.
  • the method may be used in a control device such as a terminal, and includes the following steps:
  • Step 101 Receive voice data respectively returned by multiple smart devices.
  • the terminal in the present disclosure may be any smart terminal with internet access function, for example, may be specifically a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), or the like.
  • the terminal can access the router through the wireless local area network and access the server on the public network through the router.
  • the terminal in the present disclosure can receive voice data, such as a smart home App, through an App (Application).
  • the smart device in the present disclosure includes a smart home appliance, a wearable device, and the like.
  • the smart device has a communication module, such as a wifi (Wireless Fidelity) module, for communicating with the terminal and the control center through a router set in the home.
  • the control center can be an infrared remote control center for controlling each smart device.
  • Step 102 Process a plurality of voice data to obtain optimized voice data.
  • a plurality of voice data are processed by a beamforming technique to obtain optimized voice data.
  • Step 103 Control a smart device corresponding to the voice data based on the optimized voice data.
  • control device can obtain optimized voice data by processing voice data from different locations, and control the smart device corresponding to the optimized voice data based on the optimized voice data, thereby implementing voice control on the smart device.
  • optimized voice data is obtained by processing the voice data from different locations, the quality of the voice data is optimized, the accuracy of the voice recognition is ensured, and the voice control of the smart device is realized.
  • FIG. 2 is a flowchart of a voice control method of another smart device according to an exemplary embodiment.
  • the method may be used in a control device such as a terminal, and includes the following steps:
  • Step 201 Read basic information of the smart device bound by the application.
  • Step 202 Determine a smart device having a recording function based on the basic information.
  • the terminal may receive the voice data and control the smart device based on the smart home App.
  • the smart home App is associated with multiple smart devices, and the basic information of each smart device is stored, and the terminal can determine by reading the basic information. Which smart devices have recording capabilities.
  • Step 203 Determine a smart device to be started from a smart device having a recording function.
  • the terminal needs to determine the smart device to be activated, that is, the smart device that collects voice data.
  • the smart home App of the terminal may display all the smart devices with the recording function in the bound smart device for the user to select, and the user may select some or all of the smart devices to be activated, and then the terminal. Based on the user's selection operation, the smart device selected by the user is determined as the smart device to be started to perform the recording function.
  • the smart device to be added to the open list is determined by the terminal.
  • the terminal may determine the location of the user based on the positioning technology; then find the pre-stored location of each smart device having the recording function; then the terminal determines the smart device with the recording function located in the setting range including the location of the user as The smart device to be started.
  • the smart device having the recording function within the range is determined as the smart device to be activated based on the set range and the radius of the user's position as the center radius of 2 m.
  • the placement positions of the respective smart devices are stored, for example, the devices 1-4 are placed in the living room, the devices 5 and 6 are placed in the master bedroom, and the devices 7 and 8 are placed in the second bedroom.
  • the terminal determines that the user is located in the living room, it is determined that the device 1-4 is the smart device to be activated.
  • the reading is within the set range.
  • the historical usage data of the smart device with the recording function; then the smart device to be activated is determined based on the historical usage data.
  • the historical usage data may include any one or more of the usage frequency, the last usage time, and the total usage duration.
  • the terminal may sort the smart devices based on the frequency of use, and determine the first four smart devices with the highest frequency of use as the smart devices to be activated.
  • Step 204 Send an open command to the smart device determined to be activated to enable the smart device.
  • turning on the smart device can be understood as turning on the recording function of the smart device.
  • the terminal can start the smart device to be activated through the smart home App.
  • Step 205 Receive voice data collected by a plurality of smart devices at different locations.
  • Step 206 Process a plurality of voice data based on a beamforming technique to obtain optimized voice data.
  • specific processing may include: echo cancellation, signal processing, enhancement processing, and the like.
  • Step 207 Send the optimized voice data to the infrared remote control device, so that the infrared remote control device searches for the corresponding control instruction based on the voice information in the optimized voice data, searches for the corresponding infrared code based on the device name in the optimized voice data, and performs infrared coding. Send control commands.
  • the infrared remote control device may extract voice information in the optimized voice data, for example, “turn on the power. View and retrieve the corresponding control command from the pre-stored data; in addition, the optimized voice data also carries the device name, such as "television", the infrared remote control device can find the corresponding infrared code, and send the control command to the infrared Encoding to achieve voice control of smart devices.
  • voice information in the optimized voice data for example, “turn on the power. View and retrieve the corresponding control command from the pre-stored data; in addition, the optimized voice data also carries the device name, such as "television", the infrared remote control device can find the corresponding infrared code, and send the control command to the infrared Encoding to achieve voice control of smart devices.
  • the terminal may further send the optimized voice data to the server, so that the server searches for a corresponding control instruction based on the voice information in the optimized voice data, and controls the instruction and optimizes the device name in the voice data.
  • the infrared remote control device is sent to the infrared remote control device to send a control command to the infrared code corresponding to the device name.
  • the terminal may determine the smart device to be activated in multiple manners, for example, determining the smart device selected by the user as the smart device, which can improve the satisfaction of the recording and optimize the user experience.
  • the terminal can also determine the smart device to be activated by locating the location of the user. This method can determine the smart device closest to the user, thereby improving the effect of voice recording and ensuring the quality and recognition of the voice data.
  • FIG. 3 is a flowchart of a voice control method of another smart device according to an exemplary embodiment.
  • the method may be used in a control device such as a terminal, and includes the following steps:
  • Step 301 Collect voice data.
  • voice data at different locations are separately collected by a plurality of smart devices having recording functions located at different locations.
  • the smart device can be turned on based on an open command sent by the control device.
  • Step 302 Send the voice data to the control device, so that the control device controls the smart device corresponding to the voice data based on the voice data and the voice data collected by the plurality of smart devices located at other locations.
  • the smart device may send the voice data to the control device, for example, the terminal, and the terminal performs beamforming processing on the voice data to obtain optimized voice data, and optimizes the voice data.
  • the infrared remote control center stores an infrared code library, and the infrared code library stores the name of each smart device and the corresponding infrared code, and also stores voice information and corresponding control commands.
  • the infrared remote control center extracts the voice information in the optimized voice data, obtains the device name, queries the infrared code library to obtain the infrared code corresponding to the device name, and queries the corresponding control command based on the voice information, and then sends the control command to the smart device. Infrared coding to achieve voice control of the smart device.
  • the terminal may further send the optimized voice data to the server, where the server stores the voice information and corresponding control commands, and the server extracts the voice based on the optimized voice data.
  • the information, the query obtains the corresponding control instruction, the server sends the control instruction and the device name to the infrared remote controller, and the infrared remote control finds the corresponding infrared code based on the device name, and sends the control command to the corresponding infrared code to implement the smart device.
  • the smart device may send the collected voice data to the terminal, so that the terminal processes the voice data, obtains optimized voice data, and controls the smart device based on the optimized voice data, thereby improving the quality of the optimized voice data. And recognition to optimize the user experience.
  • FIG. 4 is a schematic diagram of a voice control application scenario of a smart device according to an exemplary embodiment of the present disclosure.
  • a smart phone as a control device, and an intelligent device for recording A smart device 2 and a smart device 3, and a television as a control object, a smart home app installed in the smart phone, and the smart phone controls the smart devices bound by the smart home app.
  • the smartphone determines the location of the user based on the positioning technology, and searches for the location of each pre-stored smart device having a recording function; it will be located within a setting range (circular range shown in FIG. 4) including the position of the user.
  • the smart device 1 with the recording function, the smart device 2 and the smart device 3 are determined as the smart device to be activated, and then the device to be activated is started to start recording, and the smart device 1 , the smart device 2 and the smart device 3 located at different locations are collected.
  • the voice data is subjected to beamforming processing on the received voice data to obtain optimized voice data "turn on the TV”, and the smart phone sends the optimized voice data to the infrared remote control center, so that the infrared remote control center is based on the device name in the optimized voice data.
  • "TV” finds the corresponding infrared code, finds the control command based on the optimized voice data, and sends the control command to the infrared code to realize the control of the TV.
  • the present disclosure also provides an embodiment of a voice control device of the smart device and a control device and a smart device applied thereto.
  • FIG. 5 is a block diagram of a voice control device of a smart device according to an exemplary embodiment of the present disclosure.
  • the device may include: a receiving module 510, a processing module 520, and a control module 530.
  • the receiving module 510 is configured to receive voice data respectively returned by multiple smart devices
  • the processing module 520 is configured to process the plurality of voice data received by the receiving module 510 to obtain optimized voice data.
  • the control module 530 is configured to control the smart device corresponding to the voice data based on the optimized voice data obtained by the processing module 520.
  • control device can obtain optimized voice data by processing voice data from different locations, and control the smart device corresponding to the optimized voice data based on the optimized voice data, thereby implementing voice control on the smart device. It provides convenience for users to control smart devices and optimizes user experience.
  • FIG. 6 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the receiving module 510 may include : Receive submodule 511.
  • the receiving submodule 511 is configured to receive voice data respectively returned by the plurality of smart devices located at different locations.
  • control device can receive the voice data collected by the smart device located at multiple locations, and process the voice data from different locations to obtain optimized voice data, thereby ensuring the quality of the voice data and ensuring voice recognition. Accuracy enables voice control of smart devices.
  • FIG. 7 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the embodiment may further include the foregoing embodiment of FIG.
  • the reading module 540 is configured to read basic information of the smart device bound by the application.
  • the first determining module 550 is configured to determine a smart device having a recording function based on the basic information read by the reading module 540;
  • the second determining module 560 is configured to determine, from the smart device having the recording function determined by the first determining module 550, the smart device to be activated;
  • the opening module 570 is configured to determine, by the second determining module 560, that the smart device to be activated sends an open command to turn on the smart device.
  • control device may first determine the smart device having the recording function, and then determine the smart device to be activated from the smart device having the recording function, thereby ensuring that the activated smart device can record.
  • FIG. 8 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the embodiment is based on the foregoing embodiment shown in FIG. 560 can include a display sub-module 561 and a first determination sub-module 562.
  • the display submodule 561 is configured to display a list of smart devices having a recording function
  • the first determining sub-module 562 is configured to determine, according to a selection operation of the user in the list displayed by the display sub-module 561, the smart device selected by the user as the smart device to be started to perform the recording function.
  • control device can determine the smart device to be activated based on the user's selection, which is more in line with the user's needs and improves the user experience.
  • FIG. 9 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the embodiment is based on the foregoing embodiment shown in FIG. 7 , and the second determining module 560 is configured.
  • the method may include: a positioning submodule 563, a lookup submodule 564, and a second determining submodule 565.
  • the positioning sub-module 563 is configured to determine a location of the user based on the positioning technology
  • the search submodule 564 is configured to search for a pre-stored location of each smart device having a recording function
  • the second determining sub-module 565 is configured to determine the smart device having the recording function within the setting range of the location of the user including the positioning sub-module 563 as the smart device to be activated.
  • control device can locate the user, and then determine the smart device to be activated based on the location of the user. This manner ensures that the smart device to be activated is closer to the user, thereby ensuring a clearer collection. Voice data improves the recognition of subsequent optimized voice data and ensures precise control of smart devices.
  • FIG. 10 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the embodiment is based on the foregoing embodiment shown in FIG. It may also include a read submodule 566 and a third determine submodule 567.
  • the reading sub-module 566 is configured to read the historical usage data of the smart device with the recording function located within the set range when the number of the smart devices determined by the second determining sub-module 565 exceeds a set threshold;
  • the third determining sub-module 567 is configured to determine the smart device to be activated based on the historical usage data read by the reading sub-module 566.
  • the historical usage data read by the reading sub-module 566 includes: one or more of the usage frequency, the latest usage time, and the total usage duration.
  • control device may further determine the to-be-initiated smart device according to the historical usage data of the smart device. Since the historical usage data can reflect the performance of the smart device to a certain extent, the quality of the recorded voice data can be ensured.
  • FIG. 11 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the processing module 520 may include : Processing submodule 521.
  • the processing sub-module 521 is configured to process the plurality of voice data received by the receiving module 510 based on the beamforming technology to obtain optimized voice data.
  • control device may process the plurality of voice data based on the beamforming technology to further improve the voice recognition success rate.
  • FIG. 12 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the control module 530 may include : The first transmission sub-module 531.
  • the first sending submodule 531 is configured to send the optimized voice data obtained by the processing module 520 to the infrared remote control device, so that the infrared remote control device searches for the corresponding control command based on the voice information in the optimized voice data, based on the optimized voice data.
  • the device name looks up the corresponding infrared code and sends a control command to the infrared code.
  • control device can transmit the optimized voice data to the infrared remote control center, and the infrared remote control center realizes accurate voice control of the smart device.
  • FIG. 13 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the control module 530 may include : Second transmit sub-module 532.
  • the second sending submodule 532 is configured to send the optimized voice data obtained by the processing module to the server, so that the server searches for the corresponding control command based on the voice information in the optimized voice data, and controls the instruction and optimizes the device in the voice data.
  • the name is sent to the infrared remote control device, and the infrared remote control device further sends the control command to the infrared code corresponding to the device name.
  • control device can send the optimized voice data to the server, and the server and the infrared remote control center implement precise voice control on the smart device.
  • the voice control device embodiment of the smart device shown in FIGS. 5 to 13 described above can be applied to the control device.
  • FIG. 14 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the device may be applied to a smart device, and the device may include: an acquisition module 610 and a sending module. 620.
  • the collecting module 610 is configured to collect voice data
  • the sending module 620 is configured to send the voice data collected by the collecting module 610 to the control device, so that the control device controls the smart device corresponding to the voice data based on the voice data.
  • the smart device may send the collected voice data to the control device, so that the control device can control the voice data corresponding to the voice data and the voice data collected by the plurality of smart devices located at other locations.
  • the smart device enables precise voice control of the smart device and optimizes the user experience.
  • FIG. 15 is a block diagram of a voice control device of another smart device according to an exemplary embodiment of the present disclosure.
  • the embodiment may further include the foregoing embodiment of FIG. :
  • the module 630 is turned on.
  • the opening module 630 is configured to be turned on based on an open command sent by the control device.
  • the voice control device embodiment of the smart device illustrated in Figures 14-15 above may be applied in a smart device for collecting voice data.
  • the device embodiment since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment.
  • the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the present disclosure. Those of ordinary skill in the art can understand and implement without any creative effort.
  • control device including a processor; a memory for storing processor-executable instructions; wherein the processor is configured to:
  • the present disclosure also provides a smart device, the smart device including a processor; a memory for storing processor-executable instructions; wherein the processor is configured to:
  • FIG. 16 is a schematic structural diagram (control device side) of a voice control apparatus 1600 for a smart device according to an exemplary embodiment of the present disclosure.
  • device 1600 can be a mobile phone with routing functionality, a computer, a digital broadcast terminal, a messaging device, a gaming console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
  • apparatus 1600 can include one or more of the following components: processing component 1602, memory 1604, power component 1606, multimedia component 1608, audio component 1610, input/output (I/O) interface 1612, sensor component 1614, And a communication component 1616.
  • Processing component 1602 typically controls the overall operation of device 1600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 1602 can include one or more processors 1620 to execute instructions to perform all or part of the steps described above.
  • processing component 1602 can include one or more modules to facilitate interaction between component 1602 and other components.
  • processing component 1602 can include multimedia The body module facilitates the interaction between the multimedia component 1608 and the processing component 1602.
  • Memory 1604 is configured to store various types of data to support operation at device 1600. Examples of such data include instructions for any application or method operating on device 1600, contact data, phone book data, messages, pictures, videos, and the like. Memory 1604 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • Power component 1606 provides power to various components of device 1600.
  • Power component 1606 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 1600.
  • Multimedia component 1608 includes a screen between the device 1600 and the user that provides an output interface.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 1608 includes a front camera and/or a rear camera. When the device 1600 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 1610 is configured to output and/or input an audio signal.
  • audio component 1610 includes a microphone (MIC) that is configured to receive an external audio signal when device 1600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode.
  • the received audio signal may be further stored in memory 1604 or transmitted via communication component 1616.
  • the audio component 1610 also includes a speaker for outputting an audio signal.
  • the I/O interface 1612 provides an interface between the processing component 1602 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.
  • Sensor assembly 1614 includes one or more sensors for providing state assessment of various aspects to device 1600.
  • sensor assembly 1614 can detect an open/closed state of device 1600, a relative positioning of components, such as the display and keypad of device 1600, and sensor component 1614 can also detect a change in position of one component of device 1600 or device 1600. The presence or absence of contact by the user with the device 1600, the orientation or acceleration/deceleration of the device 1600 and the temperature change of the device 1600.
  • Sensor assembly 1614 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 1614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor assembly 1614 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, a microwave sensor, or a temperature sensor.
  • Communication component 1616 is configured to facilitate wired or wireless communication between device 1600 and other devices.
  • Device The 1600 can access a wireless network based on a communication standard such as WiFi, 2G or 3G, or a combination thereof.
  • communication component 1616 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • the communication component 1616 also includes a near field communication (NFC) module to facilitate short range communication.
  • NFC near field communication
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • device 1600 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 1604 comprising instructions executable by processor 1620 of apparatus 1600 to perform the above method.
  • the non-transitory computer readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.
  • FIG. 17 is a schematic structural diagram (smart device side) of a voice control apparatus 1700 for a smart device according to an exemplary embodiment of the present disclosure.
  • device 1700 can be a mobile phone with routing functionality, a computer, a digital broadcast terminal, a messaging device, a gaming console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
  • apparatus 1700 can include one or more of the following components: processing component 1702, memory 1704, power component 1706, multimedia component 1708, audio component 1710, input/output (I/O) interface 1712, sensor component 1714, And a communication component 1716.
  • Processing component 1702 typically controls the overall operation of device 1700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 1702 can include one or more processors 1720 to execute instructions to perform all or part of the steps of the above described methods.
  • processing component 1702 can include one or more modules to facilitate interaction between component 1702 and other components.
  • processing component 1702 can include a multimedia module to facilitate interaction between multimedia component 1708 and processing component 1702.
  • Memory 1704 is configured to store various types of data to support operation at device 1700. Examples of such data include instructions for any application or method operating on device 1700, contact data, phone book data, messages, pictures, videos, and the like. Memory 1704 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • Power component 1706 provides power to various components of device 1700.
  • Power component 1706 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 1700.
  • Multimedia component 1708 includes a screen between the device 1700 and a user that provides an output interface.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch surface
  • the board the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 1708 includes a front camera and/or a rear camera. When the device 1700 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 1710 is configured to output and/or input an audio signal.
  • the audio component 1710 includes a microphone (MIC) that is configured to receive an external audio signal when the device 1700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode.
  • the received audio signal may be further stored in memory 1704 or transmitted via communication component 1716.
  • the audio component 1710 also includes a speaker for outputting an audio signal.
  • the I/O interface 1712 provides an interface between the processing component 1702 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.
  • Sensor assembly 1714 includes one or more sensors for providing device 1700 with a status assessment of various aspects.
  • sensor assembly 1714 can detect an open/closed state of device 1700, a relative positioning of components, such as the display and keypad of device 1700, and sensor component 1714 can also detect a change in position of one component of device 1700 or device 1700. The presence or absence of user contact with device 1700, device 1700 orientation or acceleration/deceleration and temperature change of device 1700.
  • Sensor assembly 1714 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 1714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 1714 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, a microwave sensor, or a temperature sensor.
  • Communication component 1716 is configured to facilitate wired or wireless communication between device 1700 and other devices.
  • the device 1700 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • communication component 1716 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • the communication component 1716 also includes a near field communication (NFC) module to facilitate short range communication.
  • NFC near field communication
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • apparatus 1700 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 1704 comprising instructions executable by processor 1720 of apparatus 1700 to perform the above method.
  • the non-transitory computer readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

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Abstract

一种智能设备的语音控制方法、装置、控制设备及智能设备，方法包括：接收多个智能设备分别返回的语音数据（101）；对多个语音数据进行处理，得到优化语音数据（102）；基于优化语音数据控制语音数据对应的智能设备（103）。应用本方法，控制设备可以通过对来自不同位置处的语音数据进行处理，得到优化语音数据，并基于优化语音数据控制优化语音数据对应的智能设备，从而实现了对智能设备的语音控制，为用户控制智能设备提供了方便，优化了用户体验。

Description

智能设备的语音控制方法、装置、控制设备及智能设备
本申请基于申请号为201510712870.6、申请日为2015年10月28日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及智能家居技术领域，尤其涉及一种智能设备的语音控制方法、装置、控制设备及智能设备。
背景技术
目前的语音识别技术，采用性能最好的处理芯片配合全向麦克风，在比较理想的情况下能够达到三米的识别距离。通常大型会议室中通过在会议室的不同位置设置多个麦克风，并对各麦克风收集的声音进行处理，来实现较好的语音识别效果。
相关技术中，对于家庭环境中的语音识别，如果要实现上述效果需要根据家具及电器的摆设，在不同位置设置多个麦克风，成本较高。
发明内容
为克服相关技术中存在的问题，本公开提供了一种智能设备的语音控制方法、装置、控制设备及智能设备。
根据本公开实施例的第一方面，提供一种智能设备的语音控制方法，包括：
接收多个智能设备分别返回的语音数据；
对多个所述语音数据进行处理，得到优化语音数据；
基于所述优化语音数据控制所述语音数据对应的智能设备。
可选的，所述接收多个智能设备分别返回的语音数据，包括：
接收位于不同位置的多个智能设备分别返回的语音数据。
可选的，所述接收位于不同位置的多个智能设备返回的语音数据之前，所述方法还包括：
读取应用绑定的智能设备的基本信息；
基于所述基本信息确定具有录音功能的智能设备；
从具有录音功能的智能设备中确定待启动的智能设备；
向所述确定为待启动的智能设备发送开启指令，以开启所述智能设备。
可选的，所述从具有录音功能的智能设备中确定待启动的智能设备，包括：
显示具有录音功能的智能设备的列表；
基于用户针对所述列表的选择操作，将用户选中的智能设备确定为待启动录音功能的 智能设备。
可选的，所述从具有录音功能的智能设备中确定待启动的智能设备，包括：
基于定位技术确定用户的位置；
查找预先存储的各所述具有录音功能的智能设备的位置；
将位于包括所述用户的位置在内的设定范围内的具有录音功能的智能设备，确定为待启动的智能设备。
可选的，所述方法还包括：
在位于所述设定范围内的具有录音功能的智能设备的个数超过设定阈值时，读取位于所述设定范围内的具有录音功能的智能设备的历史使用数据；
基于所述历史使用数据确定待启动的智能设备。
可选的，所述历史使用数据包括：使用频率、最近一次使用时间、使用总时长中的任一项或多项。
可选的，所述对多个所述语音数据进行处理，得到优化语音数据，包括：
基于波束成形技术对多个所述语音数据进行处理，得到优化语音数据。
可选的，所述基于所述优化语音数据控制所述语音数据对应的智能设备，包括：
将所述优化语音数据发送给红外遥控设备，以使所述红外遥控设备基于所述优化语音数据中的语音信息查找对应的控制指令，基于所述优化语音数据中的设备名称查找对应的红外编码，并向所述红外编码发送所述控制指令。
可选的，所述基于所述优化语音数据控制所述语音数据对应的智能设备，包括：
将所述优化语音数据发送给服务器，以使所述服务器基于所述优化语音数据中的语音信息查找对应的控制指令，并将所述控制指令和所述优化语音数据中的设备名称发送给红外遥控设备，进一步使所述红外遥控设备将所述控制指令发送给所述设备名称对应的红外编码。
根据本公开实施例的第二方面，提供一种智能设备的语音控制方法，包括：
采集语音数据；
将所述语音数据发送给控制设备，以使所述控制设备基于所述语音数据及多个位于其他位置的智能设备采集的所述语音数据，控制所述语音数据对应的智能设备。
可选的，所述采集语音数据之前，所述方法包括：
基于所述控制设备发送的开启指令开启。
根据本公开实施例的第三方面，提供一种智能设备的语音控制装置，包括：接收模块、处理模块和控制模块；
所述接收模块，被配置为接收多个智能设备分别返回的语音数据；
所述处理模块，被配置为对所述接收模块接收到的多个所述语音数据进行处理，得到优化语音数据；
所述控制模块，被配置为基于所述处理模块得到的所述优化语音数据控制所述语音数 据对应的智能设备。
可选的，所述接收模块包括：接收子模块；
所述接收子模块，被配置为接收位于不同位置的多个智能设备分别返回的语音数据。
可选的，所述装置还包括：读取模块、第一确定模块、第二确定模块和开启模块；
所述读取模块，被配置为读取应用绑定的智能设备的基本信息；
所述第一确定模块，被配置为基于所述读取模块读取的基本信息确定具有录音功能的智能设备；
所述第二确定模块，被配置为从所述第一确定模块确定的具有录音功能的智能设备中确定待启动的智能设备；
所述开启模块，被配置为向所述第二确定模块确定为待启动的智能设备发送开启指令，以开启所述智能设备。
可选的，所述第二确定模块包括：显示子模块和第一确定子模块；
所述显示子模块，被配置为显示具有录音功能的智能设备的列表；
所述第一确定子模块，被配置为基于用户针对所述显示子模块所显示的列表中的选择操作，将用户选中的智能设备确定为待启动录音功能的智能设备。
可选的，所述第二确定模块包括：定位子模块、查找子模块和第二确定子模块；
所述定位子模块，被配置为基于定位技术确定用户的位置；
所述查找子模块，被配置为查找预先存储的各所述具有录音功能的智能设备的位置；
所述第二确定子模块，被配置为将位于包括所述定位子模块定位到的用户的位置在内的设定范围内的具有录音功能的智能设备，确定为待启动的智能设备。
可选的，所述第二确定模块还包括：读取子模块和第三确定子模块；
所述读取子模块，被配置为在所述第二确定子模块所确定的所述智能设备的个数超过设定阈值时，读取位于所述设定范围内的具有录音功能的智能设备的历史使用数据；
所述第三确定子模块，被配置为基于所述读取子模块读取的历史使用数据确定待启动的智能设备。
可选的，所述读取子模块读取的所述历史使用数据包括：使用频率、最近一次使用时间、使用总时长中的任一项或多项。
可选的，所述处理模块包括：处理子模块；
所述处理子模块，被配置为基于波束成形技术对所述接收模块接收的多个所述语音数据进行处理，得到优化语音数据。
可选的，所述控制模块包括：第一发送子模块；
所述第一发送子模块，被配置为将所述处理模块得到的所述优化语音数据发送给红外遥控设备，以使所述红外遥控设备基于所述优化语音数据中的语音信息查找对应的控制指令，基于所述优化语音数据中的设备名称查找对应的红外编码，并向所述红外编码发送所述控制指令。
可选的，所述控制模块包括：第二发送子模块；
所述第二发送子模块，被配置为将所述处理模块得到的优化语音数据发送给服务器，以使所述服务器基于所述优化语音数据中的语音信息查找对应的控制指令，并将所述控制指令和所述优化语音数据中的设备名称发送给红外遥控设备，进一步使所述红外遥控设备将所述控制指令发送给所述设备名称对应的红外编码。
根据本公开实施例的第四方面，提供一种智能设备的语音控制装置，包括：采集模块和发送模块；
所述采集模块，被配置为采集语音数据；
所述发送模块，被配置为将所述采集模块采集的语音数据发送给控制设备，以使所述控制设备基于所述语音数据控制所述语音数据对应的智能设备。
可选的，所述装置还包括：开启模块；
所述开启模块，被配置为基于所述控制设备发送的开启指令开启。
根据本公开实施例的第五方面，提供一种控制设备，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为：
接收多个智能设备分别返回的语音数据；
对多个所述语音数据进行处理，得到优化语音数据；
基于所述优化语音数据控制所述语音数据对应的智能设备。
根据本公开实施例的第六方面，提供一种智能设备，其特征在于，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为：
采集语音数据；
将所述语音数据发送给控制设备，以使所述控制设备基于所述语音数据及多个位于其他位置的智能设备采集的所述语音数据，控制所述语音数据对应的智能设备。
本公开的实施例提供的技术方案可以包括以下有益效果：
本公开中控制设备可以通过对来自不同位置处的语音数据进行处理，得到优化语音数据，并基于该优化语音数据控制该优化语音数据对应的智能设备，从而实现了对智能设备的语音控制，为用户控制智能设备提供了方便，优化了用户体验。
本公开中控制设备可以接收位于多个位置的智能设备采集的语音数据，对来自不同位置处的语音数据进行处理得到优化语音数据，因而保证了优化语音数据的质量，保证了语音识别的准确度，实现了对智能设备的语音控制。
本公开中控制设备可以先确定具有录音功能的智能设备，然后从具有录音功能的智能设备中确定待启动的智能设备，从而保证启动的智能设备能够录音。
本公开中控制设备可以基于用户的选择来确定待启动的智能设备，这种方式更加符合用户的需求，提高了用户体验。
本公开中控制设备可以对用户进行定位，然后基于用户的位置确定待启动的智能设备，这种方式能够保证待启动的智能设备距离用户的位置较近，从而保证采集到更为清晰 的语音数据，提高后续优化语音数据的辨识度，保证对智能设备的精确控制。
本公开中控制设备还可以结合智能设备的历史使用数据来确定待启动智能设备，由于历史使用数据能够一定程度上反映智能设备的性能，因而能够保证所录制的语音数据的质量。
本公开中控制设备可以将优化语音数据发送给红外遥控中心，由红外遥控中心实现对智能设备的精确语音控制。
本公开中智能设备可以将采集到的语音数据发送给控制设备，以使控制设备能够基于语音数据，及多个位于其他位置的智能设备采集的语音数据来控制语音数据对应的智能设备，从而实现了对智能设备的精确语音控制，优化了用户体验。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。
图1是本公开根据一示例性实施例示出的一种智能设备的语音控制方法流程图。
图2是本公开根据一示例性实施例示出的另一种智能设备的语音控制方法流程图。
图3是本公开根据一示例性实施例示出的另一种智能设备的语音控制方法流程图。
图4是本公开根据一示例性实施例示出的一种智能设备的语音控制应用场景示意图。
图5是本公开根据一示例性实施例示出的一种智能设备的语音控制装置框图。
图6是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图7是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图8是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图9是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图10是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图11是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图12是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图13是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图14是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图15是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图。
图16是本公开根据一示例性实施例示出的一种用于智能设备的语音控制装置的一结构示意图。
图17是本公开根据一示例性实施例示出的一种用于智能设备的语音控制装置的一结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本公开的一些方面相一致的装置和方法的例子。
在本公开使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本公开。在本公开和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解，尽管在本公开可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本公开范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
如图1所示，图1是根据一示例性实施例示出的一种智能设备的语音控制方法流程图，该方法可以用于终端等控制设备中，包括以下步骤：
步骤101、接收多个智能设备分别返回的语音数据。
本公开中的终端可以是任何具有上网功能的智能终端，例如，可以具体为手机、平板电脑、PDA(Personal Digital Assistant，个人数字助理)等。其中，终端可以通过无线局域网接入路由器，并通过路由器访问公网上的服务器。本公开中的终端可以通过App(Application，应用程序)来接收语音数据，例如智能家庭App。
本公开中的智能设备包括智能家电、可穿戴设备等，智能设备都具有通信模块，例如wifi(Wireless Fidelity，无线保真)模块，用于通过家中设置的路由器与终端、控制中心进行通信。其中控制中心可以为红外遥控中心，用于对各智能设备进行控制。
步骤102、对多个语音数据进行处理，得到优化语音数据。
本公开步骤中，采用波束成形技术对多个语音数据进行处理来得到优化语音数据。
步骤103、基于优化语音数据控制语音数据对应的智能设备。
上述实施例中，控制设备可以通过对来自不同位置处的语音数据进行处理，得到优化语音数据，并基于该优化语音数据控制该优化语音数据对应的智能设备，从而实现了对智能设备的语音控制，而且由于优化语音数据是对来自不同位置处的语音数据进行处理而得到的，因而保证了优化语音数据的质量，保证了语音识别的准确度，实现了对智能设备的语音控制。
如图2所示，图2是根据一示例性实施例示出的另一种智能设备的语音控制方法流程图，该方法可以用于终端等控制设备中，包括以下步骤：
步骤201、读取应用绑定的智能设备的基本信息。
步骤202、基于基本信息确定具有录音功能的智能设备。
本公开实施例中，终端可以基于智能家庭App来接收语音数据和控制智能设备，智能家庭App中关联有多个智能设备，且存储有各个智能设备的基本信息，终端通过读取基本信息能够确定哪些智能设备具有录音功能。
步骤203、从具有录音功能的智能设备中确定待启动的智能设备。
本公开实施例中，终端需要确定待启动的智能设备，即采集语音数据的智能设备。
在一种公开方式中，终端的智能家庭App可以显示所绑定的智能设备中全部具有录音功能的智能设备，供用户选择，用户可以选择部分也可以选择全部作为待启动的智能设备，然后终端基于用户的选择操作，将用户选中的智能设备确定为待启动录音功能的智能设备。
在另一种公开方式中，由终端来确定要加入开启列表的智能设备。终端可以基于定位技术确定用户的位置；然后查找预先存储的各具有录音功能的智能设备的位置；然后终端将位于包括用户的位置在内的设定范围内的具有录音功能的智能设备，确定为待启动的智能设备。
例如终端定位到用户位于客厅中，基于设定范围，以用户的位置为中心半径为2m作圆的范围，则将该范围之内的具有录音功能的智能设备确定为待启动的智能设备。
或者，在终端的App中，存储有各个智能设备的放置位置，例如设备1-4放置在客厅，设备5和6放置在主卧，设备7和8放置在次卧。当终端确定用户位于客厅中，则确定设备1-4为待启动的智能设备。
并且，在本公开实施例的方式中，如果所确定的位于设定范围内的具有录音功能的智能设备的个数超过设定阈值(例如：6个)时，读取位于设定范围内的具有录音功能的智能设备的历史使用数据；然后基于历史使用数据确定待启动的智能设备。该历史使用数据可以包括：使用频率、最近一次使用时间、使用总时长中的任一项或多项。例如，终端可以基于使用频率对智能设备进行排序，将使用频率最高的前4个智能设备确定为待启动的智能设备。
步骤204、向确定为待启动的智能设备发送开启指令，以开启智能设备。
本公开步骤中，开启了智能设备可以理解为开启了该智能设备的录音功能。终端可以通过智能家庭App开启待启动的智能设备。
步骤205、接收多个不同位置的智能设备采集的语音数据。
步骤206、基于波束成形技术对多个语音数据进行处理，得到优化语音数据。
本公开步骤中，具体的处理可以包括：回声消除、信号处理以及加强处理等。
步骤207、将优化语音数据发送给红外遥控设备，以使红外遥控设备基于优化语音数据中的语音信息查找对应的控制指令，基于优化语音数据中的设备名称查找对应的红外编码，并向红外编码发送控制指令。
本公开实施例中，红外遥控设备可以提取优化语音数据中的语音信息，例如“开启电 视”，并从预存储的数据中查找对应的控制指令；此外，优化语音数据中还携带有设备名称，例如“电视”，红外遥控设备可以查找对应的红外编码，将控制指令发送给该红外编码，从而实现了对智能设备的语音控制。
在另一种公开方式中，终端还可以将该优化语音数据发送给服务器，以使服务器基于该优化语音数据中的语音信息查找对应的控制指令，并将控制指令和优化语音数据中的设备名称发送给红外遥控设备，进一步使红外遥控设备将控制指令发送给设备名称对应的红外编码。
上述实施例中，终端可以通过多种方式确定待启动的智能设备，例如，将用户选择的智能设备确定为智能设备，这种方式能够提高录音的满意度，优化用户体验。
终端还可以通过定位用户的位置来确定待启动的智能设备，这种方式能够确定出离用户最近的智能设备，从而提高语音录制的效果，保证优化语音数据的质量和识别度。
如图3所示，图3是根据一示例性实施例示出的另一种智能设备的语音控制方法流程图，该方法可以用于终端等控制设备中，包括以下步骤：
步骤301、采集语音数据。
本公开实施例中，由位于不同位置的多个具有录音功能的智能设备分别采集不同位置处的语音数据。智能设备可以基于控制设备发送的开启指令开启。
步骤302、将语音数据发送给控制设备，以使控制设备基于该语音数据及多个位于其他位置的智能设备采集的语音数据，控制语音数据对应的智能设备。
结合图1、2所示实施例，在一种公开方式中，智能设备可以将语音数据发送给控制设备，例如终端，终端将语音数据进行波束成形处理，得到优化语音数据，并将优化语音数据发送给红外遥控中心，红外遥控中心中存储有红外编码库，红外编码库中存储有各个智能设备的名称及对应的红外编码，还存储有语音信息与对应的控制指令。红外遥控中心提取优化语音数据中的语音信息，得到设备名称，查询红外编码库得到对应于设备名称的红外编码，并且基于语音信息查询到对应的控制指令，然后将该控制指令发送给智能设备的红外编码，以实现对该智能设备的语音控制。
在另一种公开方式中，智能设备将优化语音数据发送给终端之后，终端还可以将优化语音数据发送给服务器，服务器中存储有语音信息以及对应的控制指令，服务器基于优化语音数据提取到语音信息，查询得到对应的控制指令，服务器将控制指令以及设备名称发送给红外遥控器，红外遥控基于设备名称查找到对应的红外编码，并将控制指令发送给对应的红外编码，以实现对智能设备的语音控制。
上述实施例中，智能设备可以将采集的语音数据发送给终端，以便终端对该语音数据进行处理，得到优化语音数据，并基于该优化语音数据对智能设备进行控制，提高了优化语音数据的质量和识别度，优化了用户体验。
如图4所示，图4是本公开根据一示例性实施例示出的一种智能设备的语音控制应用场景示意图。在图4所示的场景中，包括：作为控制设备的智能手机，用于录音的智能设 备1、智能设备2及智能设备3，以及作为控制的对象的电视，智能手机中安装有智能家庭App，智能手机通过智能家庭App控制所绑定的各个智能设备。
智能手机基于定位技术确定用户的位置，并查找预先存储的各具有录音功能的智能设备的位置；将位于包括用户的位置在内的设定范围(图4中所示的圆形范围)内的具有录音功能的智能设备1、智能设备2和智能设备3，确定为待启动的智能设备，然后开启待启动设备开始录音，接收位于不同位置的智能设备1、智能设备2及智能设备3采集的语音数据，并对接收到的语音数据进行波束成形处理，得到优化语音数据“开启电视”，智能手机将该优化语音数据发送给红外遥控中心，以使红外遥控中心基于优化语音数据中的设备名称“电视”查找对应的红外编码，基于优化语音数据查找控制指令，并将控制指令发送给红外编码，以实现对电视的控制。
在图4所示应用场景中，实现智能设备的语音控制的具体过程可以参见前述对图1-3中的描述，在此不再赘述。
与前述智能设备的语音控制方法实施例相对应，本公开还提供了智能设备的语音控制装置及其所应用的控制设备和智能设备的实施例。
如图5所示，图5是本公开根据一示例性实施例示出的一种智能设备的语音控制装置框图，该装置可以包括：接收模块510、处理模块520和控制模块530。
其中，接收模块510，被配置为接收多个智能设备分别返回的语音数据；
处理模块520，被配置为对接收模块510接收到的多个语音数据进行处理，得到优化语音数据；
控制模块530，被配置为基于处理模块520得到的优化语音数据控制语音数据对应的智能设备。
上述实施例中，控制设备可以通过对来自不同位置处的语音数据进行处理，得到优化语音数据，并基于该优化语音数据控制该优化语音数据对应的智能设备，从而实现了对智能设备的语音控制，为用户控制智能设备提供了方便，优化了用户体验。
如图6所示，图6是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图5所示实施例的基础上，接收模块510可以包括：接收子模块511。
接收子模块511，被配置为接收位于不同位置的多个智能设备分别返回的语音数据。
上述实施例中，控制设备可以接收位于多个位置的智能设备采集的语音数据，对来自不同位置处的语音数据进行处理得到优化语音数据，因而保证了优化语音数据的质量，保证了语音识别的准确度，实现了对智能设备的语音控制。
如图7所示，图7是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图5所示实施例的基础上，该装置还可以包括：读取模块540、第一确定模块550、第二确定模块560和开启模块570。
读取模块540，被配置为读取应用绑定的智能设备的基本信息；
第一确定模块550，被配置为基于读取模块540读取的基本信息确定具有录音功能的智能设备；
第二确定模块560，被配置为从第一确定模块550确定的具有录音功能的智能设备中确定待启动的智能设备；
开启模块570，被配置为向第二确定模块560确定为待启动的智能设备发送开启指令，以开启智能设备。
上述实施例中，控制设备可以先确定具有录音功能的智能设备，然后从具有录音功能的智能设备中确定待启动的智能设备，从而保证启动的智能设备能够录音。
如图8所示，图8是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图7所示实施例的基础上，该第二确定模块560可以包括：显示子模块561和第一确定子模块562。
其中，显示子模块561，被配置为显示具有录音功能的智能设备的列表；
第一确定子模块562，被配置为基于用户在所述显示子模块561显示的列表中的选择操作，将用户选中的智能设备确定为待启动录音功能的智能设备。
上述实施例中，控制设备可以基于用户的选择来确定待启动的智能设备，这种方式更加符合用户的需求，提高了用户体验。
如图9所示，图9是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图7所示实施例的基础上，第二确定模块560可以包括：定位子模块563、查找子模块564和第二确定子模块565。
定位子模块563，被配置为基于定位技术确定用户的位置；
查找子模块564，被配置为查找预先存储的各具有录音功能的智能设备的位置；
第二确定子模块565，被配置为将位于包括定位子模块563定位到的用户的位置在内的设定范围内的具有录音功能的智能设备，确定为待启动的智能设备。
上述实施例中，控制设备可以对用户进行定位，然后基于用户的位置确定待启动的智能设备，这种方式能够保证待启动的智能设备距离用户的位置较近，从而保证采集到更为清晰的语音数据，提高后续优化语音数据的辨识度，保证对智能设备的精确控制。
如图10所示，图10是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图9所示实施例的基础上，第二确定模块560还可以包括：读取子模块566和第三确定子模块567。
读取子模块566，被配置为在第二确定子模块565所确定的智能设备的个数超过设定阈值时，读取位于设定范围内的具有录音功能的智能设备的历史使用数据；
第三确定子模块567，被配置为基于读取子模块566读取的历史使用数据确定待启动的智能设备。
其中读取子模块566读取的历史使用数据包括：使用频率、最近一次使用时间、使用总时长中的任一项或多项。
上述实施例中，控制设备还可以结合智能设备的历史使用数据来确定待启动智能设备，由于历史使用数据能够一定程度上反映智能设备的性能，因而能够保证所录制的语音数据的质量。
如图11所示，图11是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图5所示实施例的基础上，处理模块520可以包括：处理子模块521。
处理子模块521，被配置为基于波束成形技术对接收模块510接收的多个语音数据进行处理，得到优化语音数据。
上述实施例中，控制设备可以基于波束成形技术对多个语音数据进行处理，进一步提高语音识别成功率。
如图12所示，图12是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图5所示实施例的基础上，控制模块530可以包括：第一发送子模块531。
第一发送子模块531，被配置为将处理模块520得到的优化语音数据发送给红外遥控设备，以使红外遥控设备基于优化语音数据中的语音信息查找对应的控制指令，基于优化语音数据中的设备名称查找对应的红外编码，并向红外编码发送控制指令。
上述实施例中，控制设备可以将优化语音数据发送给红外遥控中心，由红外遥控中心实现对智能设备的精确语音控制。
如图13所示，图13是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图5所示实施例的基础上，控制模块530可以包括：第二发送子模块532。
第二发送子模块532，被配置为将处理模块得到的优化语音数据发送给服务器，以使服务器基于优化语音数据中的语音信息查找对应的控制指令，并将控制指令和优化语音数据中的设备名称发送给红外遥控设备，进一步使红外遥控设备将控制指令发送给设备名称对应的红外编码。
上述实施例中，控制设备可以将优化语音数据发送给服务器，由服务器及红外遥控中心实现对智能设备的精确语音控制。
上述图5至图13示出的智能设备的语音控制装置实施例可以应用在控制设备中。
如图14所示，图14是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该装置可以应用于智能设备中，该装置可以包括：采集模块610和发送模块620。
采集模块610，被配置为采集语音数据；
发送模块620，被配置为将采集模块610采集的语音数据发送给控制设备，以使控制设备基于语音数据控制语音数据对应的智能设备。
上述实施例中，智能设备可以将采集到的语音数据发送给控制设备，以使控制设备能够基于语音数据，及多个位于其他位置的智能设备采集的语音数据来控制语音数据对应的 智能设备，从而实现了对智能设备的精确语音控制，优化了用户体验。
如图15所示，图15是本公开根据一示例性实施例示出的另一种智能设备的语音控制装置框图，该实施例在前述图14所示实施例的基础上，该装置还可以包括：开启模块630。
开启模块630，被配置为基于控制设备发送的开启指令开启。
上述图14-15示出的智能设备的语音控制装置实施例可以应用在用于采集语音数据的智能设备中。
上述装置中各个单元的功能和作用的实现过程具体详见上述方法中对应步骤的实现过程，在此不再赘述。
对于装置实施例而言，由于其基本对应于方法实施例，所以相关之处参见方法实施例的部分说明即可。以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本公开方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
相应的，本公开还提供一种控制设备，所述控制设备包括有处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为：
接收多个智能设备分别返回的语音数据；
对多个所述语音数据进行处理，得到优化语音数据；
基于所述优化语音数据控制所述语音数据对应的智能设备。
相应的，本公开还提供一种智能设备，所述智能设备包括有处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为：
采集语音数据；
将所述语音数据发送给控制设备，以使所述控制设备基于所述语音数据及多个位于其他位置的智能设备采集的所述语音数据，控制所述语音数据对应的智能设备。
如图16所示，图16是本公开根据一示例性实施例示出的一种用于智能设备的语音控制装置1600的一结构示意图(控制设备侧)。例如，装置1600可以是具有路由功能的移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图16，装置1600可以包括以下一个或多个组件：处理组件1602，存储器1604，电源组件1606，多媒体组件1608，音频组件1610，输入/输出(I/O)的接口1612，传感器组件1614，以及通信组件1616。
处理组件1602通常控制装置1600的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件1602可以包括一个或多个处理器1620来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件1602可以包括一个或多个模块，便于处理组件1602和其他组件之间的交互。例如，处理组件1602可以包括多媒 体模块，以方便多媒体组件1608和处理组件1602之间的交互。
存储器1604被配置为存储各种类型的数据以支持在装置1600的操作。这些数据的示例包括用于在装置1600上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器1604可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件1606为装置1600的各种组件提供电力。电源组件1606可以包括电源管理系统，一个或多个电源，及其他与为装置1600生成、管理和分配电力相关联的组件。
多媒体组件1608包括在所述装置1600和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件1608包括一个前置摄像头和/或后置摄像头。当装置1600处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件1610被配置为输出和/或输入音频信号。例如，音频组件1610包括一个麦克风(MIC)，当装置1600处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器1604或经由通信组件1616发送。在一些实施例中，音频组件1610还包括一个扬声器，用于输出音频信号。
I/O接口1612为处理组件1602和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件1614包括一个或多个传感器，用于为装置1600提供各个方面的状态评估。例如，传感器组件1614可以检测到装置1600的打开/关闭状态，组件的相对定位，例如所述组件为装置1600的显示器和小键盘，传感器组件1614还可以检测装置1600或装置1600一个组件的位置改变，用户与装置1600接触的存在或不存在，装置1600方位或加速/减速和装置1600的温度变化。传感器组件1614可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件1614还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件1614还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器，微波传感器或温度传感器。
通信组件1616被配置为便于装置1600和其他设备之间有线或无线方式的通信。装置 1600可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件1616经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件1616还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置1600可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器1604，上述指令可由装置1600的处理器1620执行以完成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
如图17所示，图17是本公开根据一示例性实施例示出的一种用于智能设备的语音控制装置1700的一结构示意图(智能设备侧)。例如，装置1700可以是具有路由功能的移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图17，装置1700可以包括以下一个或多个组件：处理组件1702，存储器1704，电源组件1706，多媒体组件1708，音频组件1710，输入/输出(I/O)的接口1712，传感器组件1714，以及通信组件1716。
处理组件1702通常控制装置1700的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件1702可以包括一个或多个处理器1720来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件1702可以包括一个或多个模块，便于处理组件1702和其他组件之间的交互。例如，处理组件1702可以包括多媒体模块，以方便多媒体组件1708和处理组件1702之间的交互。
存储器1704被配置为存储各种类型的数据以支持在装置1700的操作。这些数据的示例包括用于在装置1700上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器1704可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件1706为装置1700的各种组件提供电力。电源组件1706可以包括电源管理系统，一个或多个电源，及其他与为装置1700生成、管理和分配电力相关联的组件。
多媒体组件1708包括在所述装置1700和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面 板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件1708包括一个前置摄像头和/或后置摄像头。当装置1700处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件1710被配置为输出和/或输入音频信号。例如，音频组件1710包括一个麦克风(MIC)，当装置1700处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器1704或经由通信组件1716发送。在一些实施例中，音频组件1710还包括一个扬声器，用于输出音频信号。
I/O接口1712为处理组件1702和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件1714包括一个或多个传感器，用于为装置1700提供各个方面的状态评估。例如，传感器组件1714可以检测到装置1700的打开/关闭状态，组件的相对定位，例如所述组件为装置1700的显示器和小键盘，传感器组件1714还可以检测装置1700或装置1700一个组件的位置改变，用户与装置1700接触的存在或不存在，装置1700方位或加速/减速和装置1700的温度变化。传感器组件1714可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件1714还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件1714还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器，微波传感器或温度传感器。
通信组件1716被配置为便于装置1700和其他设备之间有线或无线方式的通信。装置1700可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件1716经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件1716还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置1700可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器1704，上述指令可由装置1700的处理器1720执行以完成上述方法。例如， 所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
以上所述仅为本公开的较佳实施例而已，并不用以限制本公开，凡在本公开的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本公开保护的范围之内。

Claims (26)

  1. 一种智能设备的语音控制方法，其特征在于，包括：
    接收多个智能设备分别返回的语音数据；
    对多个所述语音数据进行处理，得到优化语音数据；
    基于所述优化语音数据控制所述语音数据对应的智能设备。
  2. 根据权利要求1所述的方法，其特征在于，所述接收多个智能设备分别返回的语音数据，包括：
    接收位于不同位置的多个智能设备分别返回的语音数据。
  3. 根据权利要求1所述的方法，其特征在于，所述接收位于不同位置的多个智能设备返回的语音数据之前，所述方法还包括：
    读取应用绑定的智能设备的基本信息；
    基于所述基本信息确定具有录音功能的智能设备；
    从具有录音功能的智能设备中确定待启动的智能设备；
    向所述确定为待启动的智能设备发送开启指令，以开启所述智能设备。
  4. 根据权利要求3所述的方法，其特征在于，所述从具有录音功能的智能设备中确定待启动的智能设备，包括：
    显示具有录音功能的智能设备的列表；
    基于用户针对所述列表的选择操作，将用户选中的智能设备确定为待启动录音功能的智能设备。
  5. 根据权利要求3所述的方法，其特征在于，所述从具有录音功能的智能设备中确定待启动的智能设备，包括：
    基于定位技术确定用户的位置；
    查找预先存储的各所述具有录音功能的智能设备的位置；
    将位于包括所述用户的位置在内的设定范围内的具有录音功能的智能设备，确定为待启动的智能设备。
  6. 根据权利要求5所述的方法，其特征在于，所述方法还包括：
    在位于所述设定范围内的具有录音功能的智能设备的个数超过设定阈值时，读取位于所述设定范围内的具有录音功能的智能设备的历史使用数据；
    基于所述历史使用数据确定待启动的智能设备。
  7. 根据权利要求6所述的方法，其特征在于，所述历史使用数据包括：使用频率、最近一次使用时间、使用总时长中的任一项或多项。
  8. 根据权利要求1所述的方法，其特征在于，所述对多个所述语音数据进行处理，得到优化语音数据，包括：
    基于波束成形技术对多个所述语音数据进行处理，得到优化语音数据。
  9. 根据权利要求1所述的方法，其特征在于，所述基于所述优化语音数据控制所述 语音数据对应的智能设备，包括：
    将所述优化语音数据发送给红外遥控设备，以使所述红外遥控设备基于所述优化语音数据中的语音信息查找对应的控制指令，基于所述优化语音数据中的设备名称查找对应的红外编码，并向所述红外编码发送所述控制指令。
  10. 根据权利要求1所述的方法，其特征在于，所述基于所述优化语音数据控制所述语音数据对应的智能设备，包括：
    将所述优化语音数据发送给服务器，以使所述服务器基于所述优化语音数据中的语音信息查找对应的控制指令，并将所述控制指令和所述优化语音数据中的设备名称发送给红外遥控设备，进一步使所述红外遥控设备将所述控制指令发送给所述设备名称对应的红外编码。
  11. 一种智能设备的语音控制方法，其特征在于，包括：
    采集语音数据；
    将所述语音数据发送给控制设备，以使所述控制设备基于所述语音数据及多个位于其他位置的智能设备采集的所述语音数据，控制所述语音数据对应的智能设备。
  12. 根据权利要求11所述的方法，其特征在于，所述采集语音数据之前，所述方法包括：
    基于所述控制设备发送的开启指令开启。
  13. 一种智能设备的语音控制装置，其特征在于，包括：接收模块、处理模块和控制模块；
    所述接收模块，被配置为接收多个智能设备分别返回的语音数据；
    所述处理模块，被配置为对所述接收模块接收到的多个所述语音数据进行处理，得到优化语音数据；
    所述控制模块，被配置为基于所述处理模块得到的所述优化语音数据控制所述语音数据对应的智能设备。
  14. 根据权利要求13所述的装置，其特征在于，所述接收模块包括：接收子模块；
    所述接收子模块，被配置为接收位于不同位置的多个智能设备分别返回的语音数据。
  15. 根据权利要求13所述的装置，其特征在于，所述装置还包括：读取模块、第一确定模块、第二确定模块和开启模块；
    所述读取模块，被配置为读取应用绑定的智能设备的基本信息；
    所述第一确定模块，被配置为基于所述读取模块读取的基本信息确定具有录音功能的智能设备；
    所述第二确定模块，被配置为从所述第一确定模块确定的具有录音功能的智能设备中确定待启动的智能设备；
    所述开启模块，被配置为向所述第二确定模块确定为待启动的智能设备发送开启指令，以开启所述智能设备。
  16. 根据权利要求15所述的装置，其特征在于，所述第二确定模块包括：显示子模块和第一确定子模块；
    所述显示子模块，被配置为显示具有录音功能的智能设备的列表；
    所述第一确定子模块，被配置为基于用户针对所述显示子模块所显示的列表中的选择操作，将用户选中的智能设备确定为待启动录音功能的智能设备。
  17. 根据权利要求15所述的装置，其特征在于，所述第二确定模块包括：定位子模块、查找子模块和第二确定子模块；
    所述定位子模块，被配置为基于定位技术确定用户的位置；
    所述查找子模块，被配置为查找预先存储的各所述具有录音功能的智能设备的位置；
    所述第二确定子模块，被配置为将位于包括所述定位子模块定位到的用户的位置在内的设定范围内的具有录音功能的智能设备，确定为待启动的智能设备。
  18. 根据权利要求17所述的装置，其特征在于，所述第二确定模块还包括：读取子模块和第三确定子模块；
    所述读取子模块，被配置为在所述第二确定子模块所确定的所述智能设备的个数超过设定阈值时，读取位于所述设定范围内的具有录音功能的智能设备的历史使用数据；
    所述第三确定子模块，被配置为基于所述读取子模块读取的历史使用数据确定待启动的智能设备。
  19. 根据权利要求18所述的装置，其特征在于，所述读取子模块读取的所述历史使用数据包括：使用频率、最近一次使用时间、使用总时长中的任一项或多项。
  20. 根据权利要求13所述的装置，其特征在于，所述处理模块包括：处理子模块；
    所述处理子模块，被配置为基于波束成形技术对所述接收模块接收的多个所述语音数据进行处理，得到优化语音数据。
  21. 根据权利要求13所述的装置，其特征在于，所述控制模块包括：第一发送子模块；
    所述第一发送子模块，被配置为将所述处理模块得到的所述优化语音数据发送给红外遥控设备，以使所述红外遥控设备基于所述优化语音数据中的语音信息查找对应的控制指令，基于所述优化语音数据中的设备名称查找对应的红外编码，并向所述红外编码发送所述控制指令。
  22. 根据权利要求13所述的装置，其特征在于，所述控制模块包括：第二发送子模块；
    所述第二发送子模块，被配置为将所述处理模块得到的优化语音数据发送给服务器，以使所述服务器基于所述优化语音数据中的语音信息查找对应的控制指令，并将所述控制指令和所述优化语音数据中的设备名称发送给红外遥控设备，进一步使所述红外遥控设备将所述控制指令发送给所述设备名称对应的红外编码。
  23. 一种智能设备的语音控制装置，其特征在于，包括：采集模块和发送模块；
    所述采集模块，被配置为采集语音数据；
    所述发送模块，被配置为将所述采集模块采集的语音数据发送给控制设备，以使所述控制设备基于所述语音数据及多个位于其他位置的智能设备采集的所述语音数据，控制所述语音数据对应的智能设备。
  24. 根据权利要求23所述的装置，其特征在于，所述装置还包括：开启模块；
    所述开启模块，被配置为基于所述控制设备发送的开启指令开启。
  25. 一种控制设备，其特征在于，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为：
    接收多个智能设备分别返回的语音数据；
    对多个所述语音数据进行处理，得到优化语音数据；
    基于所述优化语音数据控制所述语音数据对应的智能设备。
  26. 一种智能设备，其特征在于，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为：
    采集语音数据；
    将所述语音数据发送给控制设备，以使所述控制设备基于所述语音数据及多个位于其他位置的智能设备采集的所述语音数据，控制所述语音数据对应的智能设备。
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