WO2012135218A2 - Combined activation for natural user interface systems - Google Patents
Combined activation for natural user interface systems Download PDFInfo
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- WO2012135218A2 WO2012135218A2 PCT/US2012/030740 US2012030740W WO2012135218A2 WO 2012135218 A2 WO2012135218 A2 WO 2012135218A2 US 2012030740 W US2012030740 W US 2012030740W WO 2012135218 A2 WO2012135218 A2 WO 2012135218A2
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Classifications
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F40/30—Semantic analysis
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Definitions
- a combined activation for a natural user interface may provide a multimodal natural user interface activation system that may use multiple modes to activate or operate an application.
- natural user interface systems focus on a single mode of activation or operation. For example, a user activates an application by voice command or by tapping on a screen.
- single mode activation of commands in conventional systems can be hypersensitive or prone to various types of inaccuracies, such as unintentional activation.
- a user interaction activation may be provided.
- a plurality of signals received from a user may be evaluated to determine whether the plurality of signals are associated with a visual display. If so, the plurality of signals may be translated into an agent action and a context associated with the visual display may be retrieved. The agent action may be performed according to the retrieved context and a result associated with the performed agent action may be displayed to the user.
- FIG. 1 is a block diagram of an operating environment
- FIG. 2 is a flow chart of a method for providing a user-interaction activation
- FIG. 3 is a block diagram of a system including a computing device. DETAILED DESCRIPTION
- Spoken dialog systems enable people to interact with computers with their voice.
- the primary component that drives the SDS may comprise a dialog manager: this component manages the dialog-based conversation with the user.
- the dialog manager may determine the intention of the user through a combination of multiple sources of input, such as speech recognition and natural language understanding component outputs, context from the prior dialog turns, user context, and/or results returned from a knowledge base (e.g., search engine). After determining the intention, the dialog manager may take an action, such as displaying the final results to the user and/or continuing in a dialog with the user to satisfy their intent.
- FIG. 1 is a block diagram of an operating environment 100 comprising a user 105, a server 107, a network 120, and a user device 130.
- Server 107 may comprise a spoken dialog system (SDS 1 10, a personal assistant program 1 12, and/or a search agent 118).
- SDS 1 10 may be operative to receive user phrases, queries, actions, and/or action requests via a network 120.
- Network 120 may comprise a private network (e.g., a corporate intranet), a cellular network, and/or a public network such as the Internet.
- Operating environment 100 may further comprise a plurality of data sources 150(A)-(C).
- User device 130 may be operative to provide a displayed image 132 such as that associated with photos, videos, and/or games.
- User device 130 may be coupled to a camera 135 that may be operative to record user 105 and capture motions and/or gestures made by user 105. User device 130 may be further operative to capture words spoken by user 105, such as by a microphone 137, and/or capture other inputs from user 105 such as by a keyboard and/or mouse (not pictured). Consistent with embodiments of the invention, camera 135 may comprise any motion detection device capable of detecting the movement of user 105. For example, camera 135 may comprise a Microsoft® Kinect® motion capture device comprising a plurality of cameras and a plurality of microphones.
- FIG. 2 is a flow chart setting forth the general stages involved in a method 200 consistent with an embodiment of the invention for providing personalization of a user query.
- Method 200 may be implemented using a computing device 300 as described in more detail below with respect to FIG. 3. Ways to implement the stages of method 200 will be described in greater detail below.
- Method 200 may begin at starting block 205 and proceed to stage 210 where computing device 300 may receive a plurality of signals from a user.
- SDS 110 may receive a spoken query and identify a first gesture performed by user 105 by camera 135.
- user may wave and say a command like 'hey xbox' .
- Method 200 may then advance to stage 220 where computing device 300 may determine whether the signals are directed to the system.
- user 105 pointing to the screen may comprise an activation gesture while user 105 walking past camera 135 may not. Consistent with embodiments of the invention, user 105 may define any gesture as an associated gesture. If the identified gesture and/or the speech signal is identified as not being directed to SDS 1 10, method 200 may end at stage 270.
- method 200 may advance to stage 230 where computing device 300 may retrieve a context associated with a visual display.
- metadata may be associated with a video stream providing information such as the title, actors, description, ratings, etc.
- the context may be retrieved from one of data sources 150(A)-(C).
- data source 150(A) may comprise a movie information website.
- Method 200 may then advance to stage 240 where computing device 300 may translate the received signals into an agent action.
- camera 135 may capture a pointing gesture of user 105 that may be operative to indicate a subset of the visual display. For example, there may be three actors in a current frame of a movie video, and the camera may identify which of the three actors user 105 is pointing to. This indication may be used to create an agent action in association with a speech query such as "Who is that actor?". The agent action may thus be able to selectively identify which of the three actors the user is indicating.
- Method 200 may then advance to stage 250 where computing device 300 may perform the agent action according to the retrieved context and the received signals.
- SDS 110 may retrieve a list of all actors in the displayed movie from data source 150(A), narrow the results to the three actors displayed at the time the signals were received, and identify the specific actor according to which one user 105 was pointing at.
- Method 200 may then advance to stage 260 where computing device 300 may display a result associated with the performed query to the user. For example, a caption may be displayed on user device 130 providing the result of the query. Method 200 may then end at stage 270.
- An embodiment consistent with the invention may comprise a system for providing a user-interaction activation.
- the system may comprise a memory storage and a processing unit coupled to the memory storage.
- the processing unit may be operative to receive a query from a user, retrieve a context associated with a visual display, perform the query according to the retrieved context, and display a result associated with the performed query to the user.
- the visual display may comprise, for example, a still image, a video, and/or a game image.
- Being operative to perform the query according to the retrieved context may comprise the processing unit being operative to narrow down a plurality of results to a subset of the plurality of results according to the retrieved context.
- the processing unit may be further operative to receive a gesture from the user, update the retrieved context according to the gesture (e.g., a pointing gesture), and perform the query according to the updated context.
- a gesture e.g., a pointing gesture
- Being operative to update the retrieved context according to the pointing gesture may comprise the processing unit being operative to identify an element of the visual display indicated by the pointing gesture.
- Another embodiment consistent with the invention may comprise a system for providing a user-interaction activation.
- the system may comprise a memory storage and a processing unit coupled to the memory storage.
- the processing unit may be operative to receive a request comprising a natural language phrase (e.g., a spoken phrase), retrieve a context associated with a visual display, identify a gesture performed by the user, perform an action associated with the request according to the retrieved context and the identified gesture, and provide a result associated with the performed action to the user.
- a natural language phrase may comprise spoken and/or conversational grammar rather than a specially formatted query.
- a comparable formatted query such as may be provided to a search engine may comprise "domain:imdb.com title: Inception time: 1 :32 'identify building' coordinates: 132,425.”
- the visual display may comprise an image captured by a recording device associated with the user.
- the user may take a digital picture with a camera and view the image.
- the user's gesture may comprise an activation gesture.
- user 105 may point directly at camera 135 to indicate that user 105 is about to issue a query and/or action.
- Yet another embodiment consistent with the invention may comprise a system for providing a user-interaction activation.
- the system may comprise a memory storage and a processing unit coupled to the memory storage.
- the processing unit may be operative to receive a plurality of contemporaneous signals from a user, wherein at least one first signal comprises a speech signal received via at least one microphone and at least one second signal comprises a gesture received via the at least one camera, and determine whether the first gesture comprises an activation gesture plurality of signals are associated with directed to the system.
- the processing unit may be operative to receive a query from the user, retrieve a context associated with a visual display, identify a second gesture received from the user via the camera, translate the plurality of signals into at least one agent action associated with the visual display, wherein the gesture comprises a pointing gesture operative to select a subset of the visual display, perform the query agent action according to the retrieved context and the identified second gesture and display a result associated with the performed query agent action to the user.
- FIG. 3 is a block diagram of a system including computing device 300.
- the aforementioned memory storage and processing unit may be implemented in a computing device, such as computing device 300 of FIG. 3. Any suitable combination of hardware, software, or firmware may be used to implement the memory storage and processing unit.
- the memory storage and processing unit may be implemented with computing device 300 or any of other computing devices 318, in combination with computing device 300.
- the aforementioned system, device, and processors are examples and other systems, devices, and processors may comprise the aforementioned memory storage and processing unit, consistent with embodiments of the invention.
- computing device 300 may comprise operating environment 100 as described above. System 100 may operate in other environments and is not limited to computing device 300.
- a system consistent with an embodiment of the invention may include a computing device, such as computing device 300.
- computing device 300 may include at least one processing unit 302 and a system memory 304.
- system memory 304 may comprise, but is not limited to, volatile (e.g., random access memory (RAM)), nonvolatile (e.g., read-only memory (ROM)), flash memory, or any combination.
- System memory 304 may include operating system 305, one or more programming modules 306, and may include personal assistant program 1 12.
- Operating system 305 for example, may be suitable for controlling computing device 300's operation.
- embodiments of the invention may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 3 by those components within a dashed line 308.
- Computing device 300 may have additional features or functionality.
- computing device 300 may also include additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape.
- additional storage is illustrated in FIG. 3 by a removable storage 309 and a non-removable storage 310.
- Computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data.
- System memory 304, removable storage 309, and non-removable storage 310 are all computer storage media examples (i.e., memory storage.)
- Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 300. Any such computer storage media may be part of device 300.
- Computing device 300 may also have input device(s) 312 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, etc.
- Output device(s) 314 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.
- Computing device 300 may also contain a communication connection 316 that may allow device 300 to communicate with other computing devices 318, such as over a network in a distributed computing environment, for example, an Intranet or the Internet.
- Communication connection 316 is one example of communication media.
- Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media.
- modulated data signal may describe a signal that has one or more characteristics set or changed in such a manner as to encode information in the signal.
- communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media.
- RF radio frequency
- computer readable media as used herein may include both storage media and communication media.
- program modules and data files may be stored in system memory 304, including operating system 305.
- programming modules 306 e.g., personal assistant program 112 may perform processes including, for example, one or more of method 200's stages as described above. The aforementioned process is an example, and processing unit 302 may perform other processes.
- Other programming modules that may be used in accordance with
- embodiments of the present invention may include electronic mail and contacts applications, word processing applications, spreadsheet applications, database
- program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types.
- embodiments of the invention may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor- based or programmable consumer electronics, minicomputers, mainframe computers, and the like.
- Embodiments of the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network.
- program modules may be located in both local and remote memory storage devices.
- embodiments of the invention may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors.
- Embodiments of the invention may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies.
- embodiments of the invention may be practiced within a general purpose computer or in any other circuits or systems.
- Embodiments of the invention for example, may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media.
- the computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process.
- the computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process.
- the present invention may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.).
- embodiments of the present invention may take the form of a computer program product on a computer-usable or computer- readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system.
- a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
- the computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM).
- RAM random access memory
- ROM read-only memory
- EPROM or Flash memory erasable programmable read-only memory
- CD-ROM portable compact disc read-only memory
- the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
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Abstract
A user interaction activation may be provided. A plurality of signals received from a user may be evaluated to determine whether the plurality of signals are associated with a visual display. If so, the plurality of signals may be translated into an agent action and a context associated with the visual display may be retrieved. The agent action may be performed according to the retrieved context and a result associated with the performed agent action may be displayed to the user.
Description
COMBINED ACTIVATION FOR NATURAL USER INTERFACE SYSTEMS
BACKGROUND
[001] A combined activation for a natural user interface may provide a multimodal natural user interface activation system that may use multiple modes to activate or operate an application. In some situations, natural user interface systems focus on a single mode of activation or operation. For example, a user activates an application by voice command or by tapping on a screen. However, single mode activation of commands in conventional systems can be hypersensitive or prone to various types of inaccuracies, such as unintentional activation.
SUMMARY
[002] This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter. Nor is this Summary intended to be used to limit the claimed subject matter's scope.
[003] A user interaction activation may be provided. A plurality of signals received from a user may be evaluated to determine whether the plurality of signals are associated with a visual display. If so, the plurality of signals may be translated into an agent action and a context associated with the visual display may be retrieved. The agent action may be performed according to the retrieved context and a result associated with the performed agent action may be displayed to the user.
[004] Both the foregoing general description and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing general description and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.
BRIEF DESCRIPTION OF THE DRAWINGS
[005] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present invention. In the drawings:
[006] FIG. 1 is a block diagram of an operating environment;
[007] FIG. 2 is a flow chart of a method for providing a user-interaction activation; and
[008] FIG. 3 is a block diagram of a system including a computing device.
DETAILED DESCRIPTION
[009] The following detailed description refers to the accompanying drawings.
Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While embodiments of the invention may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the invention. Instead, the proper scope of the invention is defined by the appended claims.
[010] Spoken dialog systems (SDS) enable people to interact with computers with their voice. The primary component that drives the SDS may comprise a dialog manager: this component manages the dialog-based conversation with the user. The dialog manager may determine the intention of the user through a combination of multiple sources of input, such as speech recognition and natural language understanding component outputs, context from the prior dialog turns, user context, and/or results returned from a knowledge base (e.g., search engine). After determining the intention, the dialog manager may take an action, such as displaying the final results to the user and/or continuing in a dialog with the user to satisfy their intent.
[011] FIG. 1 is a block diagram of an operating environment 100 comprising a user 105, a server 107, a network 120, and a user device 130. Server 107 may comprise a spoken dialog system (SDS 1 10, a personal assistant program 1 12, and/or a search agent 118). SDS 1 10 may be operative to receive user phrases, queries, actions, and/or action requests via a network 120. Network 120 may comprise a private network (e.g., a corporate intranet), a cellular network, and/or a public network such as the Internet. Operating environment 100 may further comprise a plurality of data sources 150(A)-(C). User device 130 may be operative to provide a displayed image 132 such as that associated with photos, videos, and/or games. User device 130 may be coupled to a camera 135 that may be operative to record user 105 and capture motions and/or gestures made by user 105. User device 130 may be further operative to capture words spoken by user 105, such as by a microphone 137, and/or capture other inputs from user 105 such as by a keyboard and/or mouse (not pictured). Consistent with embodiments of the invention, camera 135 may comprise any motion detection device capable of detecting the movement of user 105. For
example, camera 135 may comprise a Microsoft® Kinect® motion capture device comprising a plurality of cameras and a plurality of microphones.
[012] FIG. 2 is a flow chart setting forth the general stages involved in a method 200 consistent with an embodiment of the invention for providing personalization of a user query. Method 200 may be implemented using a computing device 300 as described in more detail below with respect to FIG. 3. Ways to implement the stages of method 200 will be described in greater detail below. Method 200 may begin at starting block 205 and proceed to stage 210 where computing device 300 may receive a plurality of signals from a user. For example, SDS 110 may receive a spoken query and identify a first gesture performed by user 105 by camera 135. For example, user may wave and say a command like 'hey xbox' .
[013] Method 200 may then advance to stage 220 where computing device 300 may determine whether the signals are directed to the system. For example, user 105 pointing to the screen may comprise an activation gesture while user 105 walking past camera 135 may not. Consistent with embodiments of the invention, user 105 may define any gesture as an associated gesture. If the identified gesture and/or the speech signal is identified as not being directed to SDS 1 10, method 200 may end at stage 270.
[014] If the signals are directed to the system, method 200 may advance to stage 230 where computing device 300 may retrieve a context associated with a visual display. For example, metadata may be associated with a video stream providing information such as the title, actors, description, ratings, etc. For another example, the context may be retrieved from one of data sources 150(A)-(C). For example, data source 150(A) may comprise a movie information website.
[015] Method 200 may then advance to stage 240 where computing device 300 may translate the received signals into an agent action. For example, camera 135 may capture a pointing gesture of user 105 that may be operative to indicate a subset of the visual display. For example, there may be three actors in a current frame of a movie video, and the camera may identify which of the three actors user 105 is pointing to. This indication may be used to create an agent action in association with a speech query such as "Who is that actor?". The agent action may thus be able to selectively identify which of the three actors the user is indicating.
[016] Method 200 may then advance to stage 250 where computing device 300 may perform the agent action according to the retrieved context and the received signals. For example, SDS 110 may retrieve a list of all actors in the displayed movie from data source
150(A), narrow the results to the three actors displayed at the time the signals were received, and identify the specific actor according to which one user 105 was pointing at.
[017] Method 200 may then advance to stage 260 where computing device 300 may display a result associated with the performed query to the user. For example, a caption may be displayed on user device 130 providing the result of the query. Method 200 may then end at stage 270.
[018] An embodiment consistent with the invention may comprise a system for providing a user-interaction activation. The system may comprise a memory storage and a processing unit coupled to the memory storage. The processing unit may be operative to receive a query from a user, retrieve a context associated with a visual display, perform the query according to the retrieved context, and display a result associated with the performed query to the user. The visual display may comprise, for example, a still image, a video, and/or a game image. Being operative to perform the query according to the retrieved context may comprise the processing unit being operative to narrow down a plurality of results to a subset of the plurality of results according to the retrieved context. The processing unit may be further operative to receive a gesture from the user, update the retrieved context according to the gesture (e.g., a pointing gesture), and perform the query according to the updated context. Being operative to update the retrieved context according to the pointing gesture may comprise the processing unit being operative to identify an element of the visual display indicated by the pointing gesture.
[019] Another embodiment consistent with the invention may comprise a system for providing a user-interaction activation. The system may comprise a memory storage and a processing unit coupled to the memory storage. The processing unit may be operative to receive a request comprising a natural language phrase (e.g., a spoken phrase), retrieve a context associated with a visual display, identify a gesture performed by the user, perform an action associated with the request according to the retrieved context and the identified gesture, and provide a result associated with the performed action to the user. Consistent with embodiments of the invention, a natural language phrase may comprise spoken and/or conversational grammar rather than a specially formatted query. For example "what is that building" may comprise a natural language phrase and may be associated with a visual display of the movie "Inception." A comparable formatted query such as may be provided to a search engine may comprise "domain:imdb.com title: Inception time: 1 :32 'identify building' coordinates: 132,425." The visual display may comprise an image captured by a recording device associated with the user. For example, the user may
take a digital picture with a camera and view the image. The user's gesture may comprise an activation gesture. For example, user 105 may point directly at camera 135 to indicate that user 105 is about to issue a query and/or action.
[020] Yet another embodiment consistent with the invention may comprise a system for providing a user-interaction activation. The system may comprise a memory storage and a processing unit coupled to the memory storage. The processing unit may be operative to receive a plurality of contemporaneous signals from a user, wherein at least one first signal comprises a speech signal received via at least one microphone and at least one second signal comprises a gesture received via the at least one camera, and determine whether the first gesture comprises an activation gesture plurality of signals are associated with directed to the system. In response to determining that the plurality of signals are directed to the system, the processing unit may be operative to receive a query from the user, retrieve a context associated with a visual display, identify a second gesture received from the user via the camera, translate the plurality of signals into at least one agent action associated with the visual display, wherein the gesture comprises a pointing gesture operative to select a subset of the visual display, perform the query agent action according to the retrieved context and the identified second gesture and display a result associated with the performed query agent action to the user.
[021] FIG. 3 is a block diagram of a system including computing device 300. Consistent with an embodiment of the invention, the aforementioned memory storage and processing unit may be implemented in a computing device, such as computing device 300 of FIG. 3. Any suitable combination of hardware, software, or firmware may be used to implement the memory storage and processing unit. For example, the memory storage and processing unit may be implemented with computing device 300 or any of other computing devices 318, in combination with computing device 300. The aforementioned system, device, and processors are examples and other systems, devices, and processors may comprise the aforementioned memory storage and processing unit, consistent with embodiments of the invention. Furthermore, computing device 300 may comprise operating environment 100 as described above. System 100 may operate in other environments and is not limited to computing device 300.
[022] With reference to FIG. 3, a system consistent with an embodiment of the invention may include a computing device, such as computing device 300. In a basic configuration, computing device 300 may include at least one processing unit 302 and a system memory 304. Depending on the configuration and type of computing device, system memory 304
may comprise, but is not limited to, volatile (e.g., random access memory (RAM)), nonvolatile (e.g., read-only memory (ROM)), flash memory, or any combination. System memory 304 may include operating system 305, one or more programming modules 306, and may include personal assistant program 1 12. Operating system 305, for example, may be suitable for controlling computing device 300's operation. Furthermore, embodiments of the invention may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 3 by those components within a dashed line 308.
[023] Computing device 300 may have additional features or functionality. For example, computing device 300 may also include additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape. Such additional storage is illustrated in FIG. 3 by a removable storage 309 and a non-removable storage 310. Computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. System memory 304, removable storage 309, and non-removable storage 310 are all computer storage media examples (i.e., memory storage.) Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 300. Any such computer storage media may be part of device 300. Computing device 300 may also have input device(s) 312 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, etc. Output device(s) 314 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.
[024] Computing device 300 may also contain a communication connection 316 that may allow device 300 to communicate with other computing devices 318, such as over a network in a distributed computing environment, for example, an Intranet or the Internet. Communication connection 316 is one example of communication media.
Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media. The
term "modulated data signal" may describe a signal that has one or more characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media. The term computer readable media as used herein may include both storage media and communication media.
[025] As stated above, a number of program modules and data files may be stored in system memory 304, including operating system 305. While executing on processing unit 302, programming modules 306 (e.g., personal assistant program 112) may perform processes including, for example, one or more of method 200's stages as described above. The aforementioned process is an example, and processing unit 302 may perform other processes. Other programming modules that may be used in accordance with
embodiments of the present invention may include electronic mail and contacts applications, word processing applications, spreadsheet applications, database
applications, slide presentation applications, drawing or computer-aided application programs, etc.
[026] Generally, consistent with embodiments of the invention, program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types.
Moreover, embodiments of the invention may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor- based or programmable consumer electronics, minicomputers, mainframe computers, and the like. Embodiments of the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
[027] Furthermore, embodiments of the invention may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors. Embodiments of the invention may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies. In addition, embodiments of the invention may be practiced within a general purpose computer or in any other circuits or systems.
[028] Embodiments of the invention, for example, may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media. The computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process. The computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process. Accordingly, the present invention may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.). In other words, embodiments of the present invention may take the form of a computer program product on a computer-usable or computer- readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. A computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
[029] The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM). Note that the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
[030] Embodiments of the present invention, for example, are described above with reference to block diagrams and/or operational illustrations of methods, systems, and computer program products according to embodiments of the invention. The
functions/acts noted in the blocks may occur out of the order as shown in any flowchart. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
[031] While certain embodiments of the invention have been described, other embodiments may exist. Furthermore, although embodiments of the present invention have been described as being associated with data stored in memory and other storage mediums, data can also be stored on or read from other types of computer-readable media, such as secondary storage devices, like hard disks, floppy disks, or a CD-ROM, a carrier wave from the Internet, or other forms of RAM or ROM. Further, the disclosed methods' stages may be modified in any manner, including by reordering stages and/or inserting or deleting stages, without departing from the invention.
[032] All rights including copyrights in the code included herein are vested in and the property of the Applicant. The Applicant retains and reserves all rights in the code included herein, and grants permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.
[033] While the specification includes examples, the invention's scope is indicated by the following claims. Furthermore, while the specification has been described in language specific to structural features and/or methodological acts, the claims are not limited to the features or acts described above. Rather, the specific features and acts described above are disclosed as example for embodiments of the invention.
Claims
1. A method for providing a user interaction activation, the method comprising:
receiving a plurality of signals from a user;
determining whether the plurality of signals are associated with a visual display; and
in response to determining that the plurality of signals are associated with the visual display:
translating the plurality of signals into an agent action,
retrieving a context associated with the visual display,
performing the agent action according to the retrieved context, and displaying a result associated with the performed agent action to the user.
2. The method of claim 1, wherein the plurality of signals comprises at least one of the following: a keyword and an activation gesture.
3. The method of claim 1, wherein performing the agent action according to the retrieved context comprises narrowing a plurality of results to a subset of the plurality of results according to the retrieved context.
4. The method of claim 5, further comprising displaying the subset of the plurality of results to the user.
5. The method of claim 1, further comprising:
receiving a gesture from the user, wherein the gesture comprises at least one of the plurality of signals;
updating the retrieved context according to the gesture; and
performing the agent action according to the updated context.
6. A computer-readable medium which stores a set of instructions which when executed performs a method for providing a user interaction activation, the method executed by the set of instructions comprising:
receiving a request from a user, wherein the request comprises a speech signal; retrieving a context associated with a visual display;
identifying a gesture received from the user;
performing an action associated with the request according to the retrieved context and the identified gesture; and
providing a result associated with the performed action to the user.
7. The computer-readable medium of claim 6, wherein the gesture and the speech signal are received from the user contemporaneously.
8. The computer-readable medium of claim 6, wherein performing the action associated with the request according to the identified gesture comprises selecting a subset of the visual display to be associated with the request.
9. The computer-readable medium of claim 6, wherein the context associated with the visual display is retrieved from a plurality of metadata associated with the visual display.
10. A system for providing a user interaction activation, the system comprising: at least one camera;
a memory storage; and
a processing unit coupled to the memory storage and the camera, wherein the processing unit is operative to:
receive a plurality of contemporaneous signals from a user, wherein at least one first signal comprises a speech signal received via at least one microphone and at least one second signal comprises a gesture received via the at least one camera,
determine whether the plurality of signals are directed to the system, and in response to determining that the plurality of signals are directed to the system:
retrieve a context associated with a visual display;
translate the plurality of signals into at least one agent action associated with the visual display, wherein the gesture comprises a pointing gesture operative to select a subset of the visual display;
perform the agent action according to the retrieved context and the gesture; and
display a result associated with the performed agent action to the user.
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US13/076,862 US9760566B2 (en) | 2011-03-31 | 2011-03-31 | Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof |
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US13/077,368 US9298287B2 (en) | 2011-03-31 | 2011-03-31 | Combined activation for natural user interface systems |
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Families Citing this family (207)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8677377B2 (en) | 2005-09-08 | 2014-03-18 | Apple Inc. | Method and apparatus for building an intelligent automated assistant |
US9318108B2 (en) | 2010-01-18 | 2016-04-19 | Apple Inc. | Intelligent automated assistant |
US8977255B2 (en) | 2007-04-03 | 2015-03-10 | Apple Inc. | Method and system for operating a multi-function portable electronic device using voice-activation |
US10002189B2 (en) | 2007-12-20 | 2018-06-19 | Apple Inc. | Method and apparatus for searching using an active ontology |
US9330720B2 (en) | 2008-01-03 | 2016-05-03 | Apple Inc. | Methods and apparatus for altering audio output signals |
US8996376B2 (en) | 2008-04-05 | 2015-03-31 | Apple Inc. | Intelligent text-to-speech conversion |
US20100030549A1 (en) | 2008-07-31 | 2010-02-04 | Lee Michael M | Mobile device having human language translation capability with positional feedback |
US8676904B2 (en) | 2008-10-02 | 2014-03-18 | Apple Inc. | Electronic devices with voice command and contextual data processing capabilities |
US10706373B2 (en) | 2011-06-03 | 2020-07-07 | Apple Inc. | Performing actions associated with task items that represent tasks to perform |
US10241644B2 (en) | 2011-06-03 | 2019-03-26 | Apple Inc. | Actionable reminder entries |
US10241752B2 (en) | 2011-09-30 | 2019-03-26 | Apple Inc. | Interface for a virtual digital assistant |
US10276170B2 (en) | 2010-01-18 | 2019-04-30 | Apple Inc. | Intelligent automated assistant |
US8682667B2 (en) | 2010-02-25 | 2014-03-25 | Apple Inc. | User profiling for selecting user specific voice input processing information |
US10032127B2 (en) | 2011-02-18 | 2018-07-24 | Nuance Communications, Inc. | Methods and apparatus for determining a clinician's intent to order an item |
US9262612B2 (en) | 2011-03-21 | 2016-02-16 | Apple Inc. | Device access using voice authentication |
US9760566B2 (en) | 2011-03-31 | 2017-09-12 | Microsoft Technology Licensing, Llc | Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof |
US9842168B2 (en) | 2011-03-31 | 2017-12-12 | Microsoft Technology Licensing, Llc | Task driven user intents |
US10642934B2 (en) | 2011-03-31 | 2020-05-05 | Microsoft Technology Licensing, Llc | Augmented conversational understanding architecture |
US9064006B2 (en) | 2012-08-23 | 2015-06-23 | Microsoft Technology Licensing, Llc | Translating natural language utterances to keyword search queries |
US10057736B2 (en) | 2011-06-03 | 2018-08-21 | Apple Inc. | Active transport based notifications |
US10134385B2 (en) | 2012-03-02 | 2018-11-20 | Apple Inc. | Systems and methods for name pronunciation |
US10417037B2 (en) | 2012-05-15 | 2019-09-17 | Apple Inc. | Systems and methods for integrating third party services with a digital assistant |
US9721563B2 (en) | 2012-06-08 | 2017-08-01 | Apple Inc. | Name recognition system |
CN104704797B (en) | 2012-08-10 | 2018-08-10 | 纽昂斯通讯公司 | Virtual protocol communication for electronic equipment |
US9547647B2 (en) | 2012-09-19 | 2017-01-17 | Apple Inc. | Voice-based media searching |
KR20150104615A (en) | 2013-02-07 | 2015-09-15 | 애플 인크. | Voice trigger for a digital assistant |
EP2946322A1 (en) * | 2013-03-01 | 2015-11-25 | Nuance Communications, Inc. | Methods and apparatus for determining a clinician's intent to order an item |
US10652394B2 (en) | 2013-03-14 | 2020-05-12 | Apple Inc. | System and method for processing voicemail |
US10748529B1 (en) | 2013-03-15 | 2020-08-18 | Apple Inc. | Voice activated device for use with a voice-based digital assistant |
US9436287B2 (en) * | 2013-03-15 | 2016-09-06 | Qualcomm Incorporated | Systems and methods for switching processing modes using gestures |
WO2014197334A2 (en) | 2013-06-07 | 2014-12-11 | Apple Inc. | System and method for user-specified pronunciation of words for speech synthesis and recognition |
WO2014197335A1 (en) | 2013-06-08 | 2014-12-11 | Apple Inc. | Interpreting and acting upon commands that involve sharing information with remote devices |
US10176167B2 (en) | 2013-06-09 | 2019-01-08 | Apple Inc. | System and method for inferring user intent from speech inputs |
EP3008641A1 (en) | 2013-06-09 | 2016-04-20 | Apple Inc. | Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant |
US9728184B2 (en) | 2013-06-18 | 2017-08-08 | Microsoft Technology Licensing, Llc | Restructuring deep neural network acoustic models |
US9589565B2 (en) * | 2013-06-21 | 2017-03-07 | Microsoft Technology Licensing, Llc | Environmentally aware dialog policies and response generation |
US9311298B2 (en) | 2013-06-21 | 2016-04-12 | Microsoft Technology Licensing, Llc | Building conversational understanding systems using a toolset |
CN105453026A (en) | 2013-08-06 | 2016-03-30 | 苹果公司 | Auto-activating smart responses based on activities from remote devices |
US10296160B2 (en) | 2013-12-06 | 2019-05-21 | Apple Inc. | Method for extracting salient dialog usage from live data |
CN104714954A (en) * | 2013-12-13 | 2015-06-17 | 中国电信股份有限公司 | Information searching method and system based on context understanding |
US20150170053A1 (en) * | 2013-12-13 | 2015-06-18 | Microsoft Corporation | Personalized machine learning models |
US10534623B2 (en) | 2013-12-16 | 2020-01-14 | Nuance Communications, Inc. | Systems and methods for providing a virtual assistant |
US10015770B2 (en) | 2014-03-24 | 2018-07-03 | International Business Machines Corporation | Social proximity networks for mobile phones |
US9529794B2 (en) | 2014-03-27 | 2016-12-27 | Microsoft Technology Licensing, Llc | Flexible schema for language model customization |
US20150278370A1 (en) * | 2014-04-01 | 2015-10-01 | Microsoft Corporation | Task completion for natural language input |
US10111099B2 (en) | 2014-05-12 | 2018-10-23 | Microsoft Technology Licensing, Llc | Distributing content in managed wireless distribution networks |
US9874914B2 (en) | 2014-05-19 | 2018-01-23 | Microsoft Technology Licensing, Llc | Power management contracts for accessory devices |
US10170123B2 (en) | 2014-05-30 | 2019-01-01 | Apple Inc. | Intelligent assistant for home automation |
TWI566107B (en) | 2014-05-30 | 2017-01-11 | 蘋果公司 | Method for processing a multi-part voice command, non-transitory computer readable storage medium and electronic device |
US9430463B2 (en) | 2014-05-30 | 2016-08-30 | Apple Inc. | Exemplar-based natural language processing |
US9715875B2 (en) | 2014-05-30 | 2017-07-25 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
US9633004B2 (en) | 2014-05-30 | 2017-04-25 | Apple Inc. | Better resolution when referencing to concepts |
US9355640B2 (en) * | 2014-06-04 | 2016-05-31 | Google Inc. | Invoking action responsive to co-presence determination |
US9717006B2 (en) | 2014-06-23 | 2017-07-25 | Microsoft Technology Licensing, Llc | Device quarantine in a wireless network |
JP6275569B2 (en) | 2014-06-27 | 2018-02-07 | 株式会社東芝 | Dialog apparatus, method and program |
US9338493B2 (en) | 2014-06-30 | 2016-05-10 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US9811352B1 (en) | 2014-07-11 | 2017-11-07 | Google Inc. | Replaying user input actions using screen capture images |
US10146409B2 (en) * | 2014-08-29 | 2018-12-04 | Microsoft Technology Licensing, Llc | Computerized dynamic splitting of interaction across multiple content |
US9818400B2 (en) | 2014-09-11 | 2017-11-14 | Apple Inc. | Method and apparatus for discovering trending terms in speech requests |
US9668121B2 (en) | 2014-09-30 | 2017-05-30 | Apple Inc. | Social reminders |
US10074360B2 (en) | 2014-09-30 | 2018-09-11 | Apple Inc. | Providing an indication of the suitability of speech recognition |
US10127911B2 (en) | 2014-09-30 | 2018-11-13 | Apple Inc. | Speaker identification and unsupervised speaker adaptation techniques |
KR102188268B1 (en) * | 2014-10-08 | 2020-12-08 | 엘지전자 주식회사 | Mobile terminal and method for controlling the same |
CN107003723A (en) | 2014-10-21 | 2017-08-01 | 罗伯特·博世有限公司 | For the response selection in conversational system and the method and system of the automation of composition |
KR102329333B1 (en) * | 2014-11-12 | 2021-11-23 | 삼성전자주식회사 | Query processing apparatus and method |
US9836452B2 (en) * | 2014-12-30 | 2017-12-05 | Microsoft Technology Licensing, Llc | Discriminating ambiguous expressions to enhance user experience |
US10713005B2 (en) | 2015-01-05 | 2020-07-14 | Google Llc | Multimodal state circulation |
US10572810B2 (en) | 2015-01-07 | 2020-02-25 | Microsoft Technology Licensing, Llc | Managing user interaction for input understanding determinations |
WO2016129767A1 (en) * | 2015-02-13 | 2016-08-18 | 주식회사 팔락성 | Online site linking method |
US10152299B2 (en) | 2015-03-06 | 2018-12-11 | Apple Inc. | Reducing response latency of intelligent automated assistants |
US9886953B2 (en) | 2015-03-08 | 2018-02-06 | Apple Inc. | Virtual assistant activation |
US9721566B2 (en) | 2015-03-08 | 2017-08-01 | Apple Inc. | Competing devices responding to voice triggers |
US10567477B2 (en) | 2015-03-08 | 2020-02-18 | Apple Inc. | Virtual assistant continuity |
US10460227B2 (en) | 2015-05-15 | 2019-10-29 | Apple Inc. | Virtual assistant in a communication session |
US10083688B2 (en) * | 2015-05-27 | 2018-09-25 | Apple Inc. | Device voice control for selecting a displayed affordance |
US10200824B2 (en) | 2015-05-27 | 2019-02-05 | Apple Inc. | Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device |
US9578173B2 (en) | 2015-06-05 | 2017-02-21 | Apple Inc. | Virtual assistant aided communication with 3rd party service in a communication session |
US11025565B2 (en) | 2015-06-07 | 2021-06-01 | Apple Inc. | Personalized prediction of responses for instant messaging |
US9792281B2 (en) * | 2015-06-15 | 2017-10-17 | Microsoft Technology Licensing, Llc | Contextual language generation by leveraging language understanding |
US20160378747A1 (en) | 2015-06-29 | 2016-12-29 | Apple Inc. | Virtual assistant for media playback |
US10249297B2 (en) | 2015-07-13 | 2019-04-02 | Microsoft Technology Licensing, Llc | Propagating conversational alternatives using delayed hypothesis binding |
US10331312B2 (en) | 2015-09-08 | 2019-06-25 | Apple Inc. | Intelligent automated assistant in a media environment |
US10747498B2 (en) | 2015-09-08 | 2020-08-18 | Apple Inc. | Zero latency digital assistant |
US10740384B2 (en) | 2015-09-08 | 2020-08-11 | Apple Inc. | Intelligent automated assistant for media search and playback |
US10671428B2 (en) | 2015-09-08 | 2020-06-02 | Apple Inc. | Distributed personal assistant |
KR20170033722A (en) * | 2015-09-17 | 2017-03-27 | 삼성전자주식회사 | Apparatus and method for processing user's locution, and dialog management apparatus |
US10262654B2 (en) * | 2015-09-24 | 2019-04-16 | Microsoft Technology Licensing, Llc | Detecting actionable items in a conversation among participants |
US10970646B2 (en) | 2015-10-01 | 2021-04-06 | Google Llc | Action suggestions for user-selected content |
US10691473B2 (en) | 2015-11-06 | 2020-06-23 | Apple Inc. | Intelligent automated assistant in a messaging environment |
US10956666B2 (en) | 2015-11-09 | 2021-03-23 | Apple Inc. | Unconventional virtual assistant interactions |
KR102393928B1 (en) | 2015-11-10 | 2022-05-04 | 삼성전자주식회사 | User terminal apparatus for recommanding a reply message and method thereof |
WO2017090954A1 (en) * | 2015-11-24 | 2017-06-01 | Samsung Electronics Co., Ltd. | Electronic device and operating method thereof |
KR102502569B1 (en) | 2015-12-02 | 2023-02-23 | 삼성전자주식회사 | Method and apparuts for system resource managemnet |
US10049668B2 (en) | 2015-12-02 | 2018-08-14 | Apple Inc. | Applying neural network language models to weighted finite state transducers for automatic speech recognition |
US10223066B2 (en) | 2015-12-23 | 2019-03-05 | Apple Inc. | Proactive assistance based on dialog communication between devices |
US9905248B2 (en) | 2016-02-29 | 2018-02-27 | International Business Machines Corporation | Inferring user intentions based on user conversation data and spatio-temporal data |
US9978396B2 (en) | 2016-03-16 | 2018-05-22 | International Business Machines Corporation | Graphical display of phone conversations |
US10587708B2 (en) * | 2016-03-28 | 2020-03-10 | Microsoft Technology Licensing, Llc | Multi-modal conversational intercom |
US11487512B2 (en) | 2016-03-29 | 2022-11-01 | Microsoft Technology Licensing, Llc | Generating a services application |
US10158593B2 (en) * | 2016-04-08 | 2018-12-18 | Microsoft Technology Licensing, Llc | Proactive intelligent personal assistant |
US10945129B2 (en) * | 2016-04-29 | 2021-03-09 | Microsoft Technology Licensing, Llc | Facilitating interaction among digital personal assistants |
US10409876B2 (en) * | 2016-05-26 | 2019-09-10 | Microsoft Technology Licensing, Llc. | Intelligent capture, storage, and retrieval of information for task completion |
WO2017210613A1 (en) * | 2016-06-03 | 2017-12-07 | Maluuba Inc. | Natural language generation in a spoken dialogue system |
US11227589B2 (en) | 2016-06-06 | 2022-01-18 | Apple Inc. | Intelligent list reading |
US10249300B2 (en) | 2016-06-06 | 2019-04-02 | Apple Inc. | Intelligent list reading |
US10282218B2 (en) * | 2016-06-07 | 2019-05-07 | Google Llc | Nondeterministic task initiation by a personal assistant module |
US10049663B2 (en) | 2016-06-08 | 2018-08-14 | Apple, Inc. | Intelligent automated assistant for media exploration |
DK179588B1 (en) | 2016-06-09 | 2019-02-22 | Apple Inc. | Intelligent automated assistant in a home environment |
US10067938B2 (en) | 2016-06-10 | 2018-09-04 | Apple Inc. | Multilingual word prediction |
US10586535B2 (en) | 2016-06-10 | 2020-03-10 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
DK179415B1 (en) | 2016-06-11 | 2018-06-14 | Apple Inc | Intelligent device arbitration and control |
DK179343B1 (en) | 2016-06-11 | 2018-05-14 | Apple Inc | Intelligent task discovery |
DK201670540A1 (en) | 2016-06-11 | 2018-01-08 | Apple Inc | Application integration with a digital assistant |
US10216269B2 (en) * | 2016-06-21 | 2019-02-26 | GM Global Technology Operations LLC | Apparatus and method for determining intent of user based on gaze information |
EP3504639A1 (en) * | 2016-08-23 | 2019-07-03 | Illumina, Inc. | Semantic distance systems and methods for determining related ontological data |
US10446137B2 (en) | 2016-09-07 | 2019-10-15 | Microsoft Technology Licensing, Llc | Ambiguity resolving conversational understanding system |
US10474753B2 (en) | 2016-09-07 | 2019-11-12 | Apple Inc. | Language identification using recurrent neural networks |
US10503767B2 (en) * | 2016-09-13 | 2019-12-10 | Microsoft Technology Licensing, Llc | Computerized natural language query intent dispatching |
US10043516B2 (en) | 2016-09-23 | 2018-08-07 | Apple Inc. | Intelligent automated assistant |
US9940390B1 (en) * | 2016-09-27 | 2018-04-10 | Microsoft Technology Licensing, Llc | Control system using scoped search and conversational interface |
CN115858730A (en) * | 2016-09-29 | 2023-03-28 | 微软技术许可有限责任公司 | Conversational data analysis |
US10535005B1 (en) | 2016-10-26 | 2020-01-14 | Google Llc | Providing contextual actions for mobile onscreen content |
JP6697373B2 (en) | 2016-12-06 | 2020-05-20 | カシオ計算機株式会社 | Sentence generating device, sentence generating method and program |
US10593346B2 (en) | 2016-12-22 | 2020-03-17 | Apple Inc. | Rank-reduced token representation for automatic speech recognition |
US11204787B2 (en) | 2017-01-09 | 2021-12-21 | Apple Inc. | Application integration with a digital assistant |
CN110249326B (en) * | 2017-02-08 | 2023-07-14 | 微软技术许可有限责任公司 | Natural language content generator |
US10643601B2 (en) * | 2017-02-09 | 2020-05-05 | Semantic Machines, Inc. | Detection mechanism for automated dialog systems |
WO2018156978A1 (en) | 2017-02-23 | 2018-08-30 | Semantic Machines, Inc. | Expandable dialogue system |
CN116991971A (en) * | 2017-02-23 | 2023-11-03 | 微软技术许可有限责任公司 | Extensible dialog system |
US10798027B2 (en) * | 2017-03-05 | 2020-10-06 | Microsoft Technology Licensing, Llc | Personalized communications using semantic memory |
US10237209B2 (en) * | 2017-05-08 | 2019-03-19 | Google Llc | Initializing a conversation with an automated agent via selectable graphical element |
DK201770383A1 (en) | 2017-05-09 | 2018-12-14 | Apple Inc. | User interface for correcting recognition errors |
US10417266B2 (en) | 2017-05-09 | 2019-09-17 | Apple Inc. | Context-aware ranking of intelligent response suggestions |
DK201770439A1 (en) | 2017-05-11 | 2018-12-13 | Apple Inc. | Offline personal assistant |
DK180048B1 (en) | 2017-05-11 | 2020-02-04 | Apple Inc. | MAINTAINING THE DATA PROTECTION OF PERSONAL INFORMATION |
US10726832B2 (en) | 2017-05-11 | 2020-07-28 | Apple Inc. | Maintaining privacy of personal information |
US10395654B2 (en) | 2017-05-11 | 2019-08-27 | Apple Inc. | Text normalization based on a data-driven learning network |
DK201770429A1 (en) | 2017-05-12 | 2018-12-14 | Apple Inc. | Low-latency intelligent automated assistant |
DK179745B1 (en) | 2017-05-12 | 2019-05-01 | Apple Inc. | SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT |
DK179496B1 (en) | 2017-05-12 | 2019-01-15 | Apple Inc. | USER-SPECIFIC Acoustic Models |
US11301477B2 (en) | 2017-05-12 | 2022-04-12 | Apple Inc. | Feedback analysis of a digital assistant |
DK201770411A1 (en) | 2017-05-15 | 2018-12-20 | Apple Inc. | Multi-modal interfaces |
DK201770431A1 (en) | 2017-05-15 | 2018-12-20 | Apple Inc. | Optimizing dialogue policy decisions for digital assistants using implicit feedback |
DK201770432A1 (en) | 2017-05-15 | 2018-12-21 | Apple Inc. | Hierarchical belief states for digital assistants |
US20180336892A1 (en) | 2017-05-16 | 2018-11-22 | Apple Inc. | Detecting a trigger of a digital assistant |
US10311144B2 (en) | 2017-05-16 | 2019-06-04 | Apple Inc. | Emoji word sense disambiguation |
DK179560B1 (en) | 2017-05-16 | 2019-02-18 | Apple Inc. | Far-field extension for digital assistant services |
US20180336275A1 (en) | 2017-05-16 | 2018-11-22 | Apple Inc. | Intelligent automated assistant for media exploration |
US10403278B2 (en) | 2017-05-16 | 2019-09-03 | Apple Inc. | Methods and systems for phonetic matching in digital assistant services |
US10664533B2 (en) * | 2017-05-24 | 2020-05-26 | Lenovo (Singapore) Pte. Ltd. | Systems and methods to determine response cue for digital assistant based on context |
US10679192B2 (en) * | 2017-05-25 | 2020-06-09 | Microsoft Technology Licensing, Llc | Assigning tasks and monitoring task performance based on context extracted from a shared contextual graph |
US10657328B2 (en) | 2017-06-02 | 2020-05-19 | Apple Inc. | Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling |
US10742435B2 (en) * | 2017-06-29 | 2020-08-11 | Google Llc | Proactive provision of new content to group chat participants |
US11132499B2 (en) | 2017-08-28 | 2021-09-28 | Microsoft Technology Licensing, Llc | Robust expandable dialogue system |
US10445429B2 (en) | 2017-09-21 | 2019-10-15 | Apple Inc. | Natural language understanding using vocabularies with compressed serialized tries |
US10755051B2 (en) | 2017-09-29 | 2020-08-25 | Apple Inc. | Rule-based natural language processing |
US10546023B2 (en) | 2017-10-03 | 2020-01-28 | Google Llc | Providing command bundle suggestions for an automated assistant |
US10636424B2 (en) | 2017-11-30 | 2020-04-28 | Apple Inc. | Multi-turn canned dialog |
CN110019718B (en) * | 2017-12-15 | 2021-04-09 | 上海智臻智能网络科技股份有限公司 | Method for modifying multi-turn question-answering system, terminal equipment and storage medium |
US11341422B2 (en) | 2017-12-15 | 2022-05-24 | SHANGHAI XIAOl ROBOT TECHNOLOGY CO., LTD. | Multi-round questioning and answering methods, methods for generating a multi-round questioning and answering system, and methods for modifying the system |
US10733982B2 (en) | 2018-01-08 | 2020-08-04 | Apple Inc. | Multi-directional dialog |
US10839160B2 (en) * | 2018-01-19 | 2020-11-17 | International Business Machines Corporation | Ontology-based automatic bootstrapping of state-based dialog systems |
US10733375B2 (en) | 2018-01-31 | 2020-08-04 | Apple Inc. | Knowledge-based framework for improving natural language understanding |
US10789959B2 (en) | 2018-03-02 | 2020-09-29 | Apple Inc. | Training speaker recognition models for digital assistants |
US10592604B2 (en) | 2018-03-12 | 2020-03-17 | Apple Inc. | Inverse text normalization for automatic speech recognition |
KR102635811B1 (en) * | 2018-03-19 | 2024-02-13 | 삼성전자 주식회사 | System and control method of system for processing sound data |
US10818288B2 (en) | 2018-03-26 | 2020-10-27 | Apple Inc. | Natural assistant interaction |
US10909331B2 (en) | 2018-03-30 | 2021-02-02 | Apple Inc. | Implicit identification of translation payload with neural machine translation |
US10685075B2 (en) * | 2018-04-11 | 2020-06-16 | Motorola Solutions, Inc. | System and method for tailoring an electronic digital assistant query as a function of captured multi-party voice dialog and an electronically stored multi-party voice-interaction template |
US10928918B2 (en) | 2018-05-07 | 2021-02-23 | Apple Inc. | Raise to speak |
US11145294B2 (en) | 2018-05-07 | 2021-10-12 | Apple Inc. | Intelligent automated assistant for delivering content from user experiences |
US10984780B2 (en) | 2018-05-21 | 2021-04-20 | Apple Inc. | Global semantic word embeddings using bi-directional recurrent neural networks |
DK180639B1 (en) | 2018-06-01 | 2021-11-04 | Apple Inc | DISABILITY OF ATTENTION-ATTENTIVE VIRTUAL ASSISTANT |
DK179822B1 (en) | 2018-06-01 | 2019-07-12 | Apple Inc. | Voice interaction at a primary device to access call functionality of a companion device |
DK201870355A1 (en) | 2018-06-01 | 2019-12-16 | Apple Inc. | Virtual assistant operation in multi-device environments |
US11386266B2 (en) | 2018-06-01 | 2022-07-12 | Apple Inc. | Text correction |
US10892996B2 (en) | 2018-06-01 | 2021-01-12 | Apple Inc. | Variable latency device coordination |
US10496705B1 (en) | 2018-06-03 | 2019-12-03 | Apple Inc. | Accelerated task performance |
US11477921B2 (en) | 2018-08-29 | 2022-10-18 | Panasonic Intellectual Property Management Co., Ltd. | Power conversion system and power storage system |
US11010561B2 (en) | 2018-09-27 | 2021-05-18 | Apple Inc. | Sentiment prediction from textual data |
US10839159B2 (en) | 2018-09-28 | 2020-11-17 | Apple Inc. | Named entity normalization in a spoken dialog system |
US11462215B2 (en) | 2018-09-28 | 2022-10-04 | Apple Inc. | Multi-modal inputs for voice commands |
US11170166B2 (en) | 2018-09-28 | 2021-11-09 | Apple Inc. | Neural typographical error modeling via generative adversarial networks |
US11475898B2 (en) | 2018-10-26 | 2022-10-18 | Apple Inc. | Low-latency multi-speaker speech recognition |
US11638059B2 (en) | 2019-01-04 | 2023-04-25 | Apple Inc. | Content playback on multiple devices |
CN111428721A (en) * | 2019-01-10 | 2020-07-17 | 北京字节跳动网络技术有限公司 | Method, device and equipment for determining word paraphrases and storage medium |
US11348573B2 (en) | 2019-03-18 | 2022-05-31 | Apple Inc. | Multimodality in digital assistant systems |
US11475884B2 (en) | 2019-05-06 | 2022-10-18 | Apple Inc. | Reducing digital assistant latency when a language is incorrectly determined |
DK201970509A1 (en) | 2019-05-06 | 2021-01-15 | Apple Inc | Spoken notifications |
US11423908B2 (en) | 2019-05-06 | 2022-08-23 | Apple Inc. | Interpreting spoken requests |
US11307752B2 (en) | 2019-05-06 | 2022-04-19 | Apple Inc. | User configurable task triggers |
US11140099B2 (en) | 2019-05-21 | 2021-10-05 | Apple Inc. | Providing message response suggestions |
DK180129B1 (en) | 2019-05-31 | 2020-06-02 | Apple Inc. | User activity shortcut suggestions |
US11289073B2 (en) | 2019-05-31 | 2022-03-29 | Apple Inc. | Device text to speech |
US11496600B2 (en) | 2019-05-31 | 2022-11-08 | Apple Inc. | Remote execution of machine-learned models |
DK201970510A1 (en) | 2019-05-31 | 2021-02-11 | Apple Inc | Voice identification in digital assistant systems |
US11227599B2 (en) | 2019-06-01 | 2022-01-18 | Apple Inc. | Methods and user interfaces for voice-based control of electronic devices |
US11360641B2 (en) | 2019-06-01 | 2022-06-14 | Apple Inc. | Increasing the relevance of new available information |
WO2021056255A1 (en) | 2019-09-25 | 2021-04-01 | Apple Inc. | Text detection using global geometry estimators |
US11061543B1 (en) | 2020-05-11 | 2021-07-13 | Apple Inc. | Providing relevant data items based on context |
US11043220B1 (en) | 2020-05-11 | 2021-06-22 | Apple Inc. | Digital assistant hardware abstraction |
US11755276B2 (en) | 2020-05-12 | 2023-09-12 | Apple Inc. | Reducing description length based on confidence |
US11490204B2 (en) | 2020-07-20 | 2022-11-01 | Apple Inc. | Multi-device audio adjustment coordination |
US11438683B2 (en) | 2020-07-21 | 2022-09-06 | Apple Inc. | User identification using headphones |
US11783827B2 (en) | 2020-11-06 | 2023-10-10 | Apple Inc. | Determining suggested subsequent user actions during digital assistant interaction |
EP4174848A1 (en) * | 2021-10-29 | 2023-05-03 | Televic Rail NV | Improved speech to text method and system |
CN116644810B (en) * | 2023-05-06 | 2024-04-05 | 国网冀北电力有限公司信息通信分公司 | Power grid fault risk treatment method and device based on knowledge graph |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5265014A (en) * | 1990-04-10 | 1993-11-23 | Hewlett-Packard Company | Multi-modal user interface |
US5748974A (en) * | 1994-12-13 | 1998-05-05 | International Business Machines Corporation | Multimodal natural language interface for cross-application tasks |
US20100217604A1 (en) * | 2009-02-20 | 2010-08-26 | Voicebox Technologies, Inc. | System and method for processing multi-modal device interactions in a natural language voice services environment |
US20100281435A1 (en) * | 2009-04-30 | 2010-11-04 | At&T Intellectual Property I, L.P. | System and method for multimodal interaction using robust gesture processing |
Family Cites Families (68)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5970446A (en) * | 1997-11-25 | 1999-10-19 | At&T Corp | Selective noise/channel/coding models and recognizers for automatic speech recognition |
WO2000011571A1 (en) * | 1998-08-24 | 2000-03-02 | Bcl Computers, Inc. | Adaptive natural language interface |
US6499013B1 (en) * | 1998-09-09 | 2002-12-24 | One Voice Technologies, Inc. | Interactive user interface using speech recognition and natural language processing |
US6332120B1 (en) * | 1999-04-20 | 2001-12-18 | Solana Technology Development Corporation | Broadcast speech recognition system for keyword monitoring |
JP3530109B2 (en) * | 1999-05-31 | 2004-05-24 | 日本電信電話株式会社 | Voice interactive information retrieval method, apparatus, and recording medium for large-scale information database |
EP1236096A1 (en) * | 1999-06-01 | 2002-09-04 | Geoffrey M. Jacquez | Help system for a computer related application |
US6598039B1 (en) * | 1999-06-08 | 2003-07-22 | Albert-Inc. S.A. | Natural language interface for searching database |
JP3765202B2 (en) * | 1999-07-09 | 2006-04-12 | 日産自動車株式会社 | Interactive information search apparatus, interactive information search method using computer, and computer-readable medium recording program for interactive information search processing |
JP2001125896A (en) * | 1999-10-26 | 2001-05-11 | Victor Co Of Japan Ltd | Natural language interactive system |
US7050977B1 (en) * | 1999-11-12 | 2006-05-23 | Phoenix Solutions, Inc. | Speech-enabled server for internet website and method |
JP2002024285A (en) * | 2000-06-30 | 2002-01-25 | Sanyo Electric Co Ltd | Method and device for user support |
JP2002082748A (en) * | 2000-09-06 | 2002-03-22 | Sanyo Electric Co Ltd | User support device |
US7197120B2 (en) * | 2000-12-22 | 2007-03-27 | Openwave Systems Inc. | Method and system for facilitating mediated communication |
GB2372864B (en) * | 2001-02-28 | 2005-09-07 | Vox Generation Ltd | Spoken language interface |
JP2003115951A (en) * | 2001-10-09 | 2003-04-18 | Casio Comput Co Ltd | Topic information providing system and topic information providing method |
US7224981B2 (en) * | 2002-06-20 | 2007-05-29 | Intel Corporation | Speech recognition of mobile devices |
US7693720B2 (en) * | 2002-07-15 | 2010-04-06 | Voicebox Technologies, Inc. | Mobile systems and methods for responding to natural language speech utterance |
EP1411443A1 (en) * | 2002-10-18 | 2004-04-21 | Hewlett Packard Company, a Delaware Corporation | Context filter |
JP2004212641A (en) * | 2002-12-27 | 2004-07-29 | Toshiba Corp | Voice input system and terminal device equipped with voice input system |
JP2004328181A (en) * | 2003-04-23 | 2004-11-18 | Sharp Corp | Telephone and telephone network system |
JP4441782B2 (en) * | 2003-05-14 | 2010-03-31 | 日本電信電話株式会社 | Information presentation method and information presentation apparatus |
JP2005043461A (en) * | 2003-07-23 | 2005-02-17 | Canon Inc | Voice recognition method and voice recognition device |
KR20050032649A (en) * | 2003-10-02 | 2005-04-08 | (주)이즈메이커 | Method and system for teaching artificial life |
US7747601B2 (en) * | 2006-08-14 | 2010-06-29 | Inquira, Inc. | Method and apparatus for identifying and classifying query intent |
US7720674B2 (en) * | 2004-06-29 | 2010-05-18 | Sap Ag | Systems and methods for processing natural language queries |
JP4434972B2 (en) * | 2005-01-21 | 2010-03-17 | 日本電気株式会社 | Information providing system, information providing method and program thereof |
ATE510259T1 (en) | 2005-01-31 | 2011-06-15 | Ontoprise Gmbh | MAPPING WEB SERVICES TO ONTOLOGIES |
GB0502259D0 (en) * | 2005-02-03 | 2005-03-09 | British Telecomm | Document searching tool and method |
CN101120341A (en) * | 2005-02-06 | 2008-02-06 | 凌圭特股份有限公司 | Method and equipment for performing mobile information access using natural language |
US7409344B2 (en) * | 2005-03-08 | 2008-08-05 | Sap Aktiengesellschaft | XML based architecture for controlling user interfaces with contextual voice commands |
US20060206333A1 (en) * | 2005-03-08 | 2006-09-14 | Microsoft Corporation | Speaker-dependent dialog adaptation |
WO2006108061A2 (en) * | 2005-04-05 | 2006-10-12 | The Board Of Trustees Of Leland Stanford Junior University | Methods, software, and systems for knowledge base coordination |
US7991607B2 (en) * | 2005-06-27 | 2011-08-02 | Microsoft Corporation | Translation and capture architecture for output of conversational utterances |
US7640160B2 (en) * | 2005-08-05 | 2009-12-29 | Voicebox Technologies, Inc. | Systems and methods for responding to natural language speech utterance |
US7620549B2 (en) * | 2005-08-10 | 2009-11-17 | Voicebox Technologies, Inc. | System and method of supporting adaptive misrecognition in conversational speech |
US7822699B2 (en) * | 2005-11-30 | 2010-10-26 | Microsoft Corporation | Adaptive semantic reasoning engine |
US7627466B2 (en) * | 2005-11-09 | 2009-12-01 | Microsoft Corporation | Natural language interface for driving adaptive scenarios |
US20070136222A1 (en) | 2005-12-09 | 2007-06-14 | Microsoft Corporation | Question and answer architecture for reasoning and clarifying intentions, goals, and needs from contextual clues and content |
US20070143410A1 (en) * | 2005-12-16 | 2007-06-21 | International Business Machines Corporation | System and method for defining and translating chat abbreviations |
CN100373313C (en) * | 2006-01-12 | 2008-03-05 | 广东威创视讯科技股份有限公司 | Intelligent recognition coding method for interactive input apparatus |
US8209407B2 (en) * | 2006-02-10 | 2012-06-26 | The United States Of America, As Represented By The Secretary Of The Navy | System and method for web service discovery and access |
WO2007147015A2 (en) * | 2006-06-13 | 2007-12-21 | Microsoft Corporation | Search engine dash-board |
US20080005068A1 (en) * | 2006-06-28 | 2008-01-03 | Microsoft Corporation | Context-based search, retrieval, and awareness |
CN1963752A (en) * | 2006-11-28 | 2007-05-16 | 李博航 | Man-machine interactive interface technique of electronic apparatus based on natural language |
US8103606B2 (en) * | 2006-12-08 | 2012-01-24 | Medhat Moussa | Architecture, system and method for artificial neural network implementation |
US20080172359A1 (en) * | 2007-01-11 | 2008-07-17 | Motorola, Inc. | Method and apparatus for providing contextual support to a monitored communication |
US20080172659A1 (en) | 2007-01-17 | 2008-07-17 | Microsoft Corporation | Harmonizing a test file and test configuration in a revision control system |
US20080201434A1 (en) * | 2007-02-16 | 2008-08-21 | Microsoft Corporation | Context-Sensitive Searches and Functionality for Instant Messaging Applications |
US20090076917A1 (en) * | 2007-08-22 | 2009-03-19 | Victor Roditis Jablokov | Facilitating presentation of ads relating to words of a message |
US7720856B2 (en) * | 2007-04-09 | 2010-05-18 | Sap Ag | Cross-language searching |
US8762143B2 (en) * | 2007-05-29 | 2014-06-24 | At&T Intellectual Property Ii, L.P. | Method and apparatus for identifying acoustic background environments based on time and speed to enhance automatic speech recognition |
US7788276B2 (en) * | 2007-08-22 | 2010-08-31 | Yahoo! Inc. | Predictive stemming for web search with statistical machine translation models |
EP2183686A4 (en) * | 2007-08-31 | 2018-03-28 | Zhigu Holdings Limited | Identification of semantic relationships within reported speech |
US8165886B1 (en) * | 2007-10-04 | 2012-04-24 | Great Northern Research LLC | Speech interface system and method for control and interaction with applications on a computing system |
US8504621B2 (en) * | 2007-10-26 | 2013-08-06 | Microsoft Corporation | Facilitating a decision-making process |
JP2009116733A (en) * | 2007-11-08 | 2009-05-28 | Nec Corp | Application retrieval system, application retrieval method, monitor terminal, retrieval server, and program |
JP5158635B2 (en) * | 2008-02-28 | 2013-03-06 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Method, system, and apparatus for personal service support |
US20090234655A1 (en) * | 2008-03-13 | 2009-09-17 | Jason Kwon | Mobile electronic device with active speech recognition |
WO2009129315A1 (en) * | 2008-04-15 | 2009-10-22 | Mobile Technologies, Llc | System and methods for maintaining speech-to-speech translation in the field |
CN101499277B (en) * | 2008-07-25 | 2011-05-04 | 中国科学院计算技术研究所 | Service intelligent navigation method and system |
US8874443B2 (en) * | 2008-08-27 | 2014-10-28 | Robert Bosch Gmbh | System and method for generating natural language phrases from user utterances in dialog systems |
JP2010128665A (en) * | 2008-11-26 | 2010-06-10 | Kyocera Corp | Information terminal and conversation assisting program |
JP2010145262A (en) * | 2008-12-19 | 2010-07-01 | Pioneer Electronic Corp | Navigation apparatus |
JP2010230918A (en) * | 2009-03-26 | 2010-10-14 | Fujitsu Ten Ltd | Retrieving device |
US8700665B2 (en) * | 2009-04-27 | 2014-04-15 | Avaya Inc. | Intelligent conference call information agents |
KR101622111B1 (en) * | 2009-12-11 | 2016-05-18 | 삼성전자 주식회사 | Dialog system and conversational method thereof |
KR101007336B1 (en) * | 2010-06-25 | 2011-01-13 | 한국과학기술정보연구원 | Personalizing service system and method based on ontology |
US20120253789A1 (en) | 2011-03-31 | 2012-10-04 | Microsoft Corporation | Conversational Dialog Learning and Correction |
-
2012
- 2012-03-27 JP JP2014502723A patent/JP6087899B2/en not_active Expired - Fee Related
- 2012-03-27 WO PCT/US2012/030751 patent/WO2012135226A1/en unknown
- 2012-03-27 WO PCT/US2012/030730 patent/WO2012135210A2/en unknown
- 2012-03-27 WO PCT/US2012/030757 patent/WO2012135229A2/en active Application Filing
- 2012-03-27 EP EP12765896.1A patent/EP2691877A4/en not_active Withdrawn
- 2012-03-27 KR KR1020137025540A patent/KR101922744B1/en active IP Right Grant
- 2012-03-27 JP JP2014502721A patent/JP2014512046A/en active Pending
- 2012-03-27 WO PCT/US2012/030740 patent/WO2012135218A2/en active Application Filing
- 2012-03-27 EP EP12763866.6A patent/EP2691949A4/en not_active Ceased
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5265014A (en) * | 1990-04-10 | 1993-11-23 | Hewlett-Packard Company | Multi-modal user interface |
US5748974A (en) * | 1994-12-13 | 1998-05-05 | International Business Machines Corporation | Multimodal natural language interface for cross-application tasks |
US20100217604A1 (en) * | 2009-02-20 | 2010-08-26 | Voicebox Technologies, Inc. | System and method for processing multi-modal device interactions in a natural language voice services environment |
US20100281435A1 (en) * | 2009-04-30 | 2010-11-04 | At&T Intellectual Property I, L.P. | System and method for multimodal interaction using robust gesture processing |
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