US20150046157A1 - User Dedicated Automatic Speech Recognition - Google Patents
User Dedicated Automatic Speech Recognition Download PDFInfo
- Publication number
- US20150046157A1 US20150046157A1 US14/382,839 US201214382839A US2015046157A1 US 20150046157 A1 US20150046157 A1 US 20150046157A1 US 201214382839 A US201214382839 A US 201214382839A US 2015046157 A1 US2015046157 A1 US 2015046157A1
- Authority
- US
- United States
- Prior art keywords
- mode
- listening mode
- selective
- user interface
- speech
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
- 238000001914 filtration Methods 0.000 claims abstract description 23
- 230000004044 response Effects 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 17
- 230000000007 visual effect Effects 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 5
- 230000004807 localization Effects 0.000 claims description 5
- 230000004913 activation Effects 0.000 description 13
- 230000008569 process Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
- G06F3/167—Audio in a user interface, e.g. using voice commands for navigating, audio feedback
-
- 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
- G10L15/24—Speech recognition using non-acoustical features
- G10L15/25—Speech recognition using non-acoustical features using position of the lips, movement of the lips or face analysis
-
- 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
-
- 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
- G10L17/00—Speaker identification or verification techniques
-
- 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
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- 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
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
-
- 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
- G10L2015/226—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
- G10L2015/228—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics of application context
-
- 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
Definitions
- the present invention relates to user interfaces for computer systems, and more specifically to a user dedicated, multi-mode, voice controlled interface using automatic speech recognition.
- ASR automatic speech recognition
- PTT push-to-talk
- Pushing the PTT button makes the system respond to any spoken word inputs regardless of who uttered the speech.
- distant talking applications such as voice controlled televisions or computer gaming consoles, the PTT button may be replaced by an activation word command.
- ASR systems typically are equipped with a signal preprocessor to cope with interference and noise. Often multiple microphones are used, particularly for distant talking interfaces where the speech enhancement algorithm is spatially steered towards the assumed direction of the speaker (beamforming) Consequently, interferences from other directions will be suppressed. This improves the ASR performance for the desired speaker, but decreases the ASR performance for others. Thus the ASR performance depends on the spatial position of the speaker relative to the microphone array and on the steering direction of the beamforming algorithm.
- Embodiments of the present invention are directed to a multi-mode voice controlled user interface for an automatic speech recognition (ASR) system employing at least one hardware implemented computer processor, and corresponding methods of using such an interface.
- the user interface is adapted to conduct a speech dialog with one or more possible speakers and includes a broad listening mode which accepts speech inputs from the possible speakers without spatial filtering, and a selective listening mode which limits speech inputs to a specific speaker using spatial filtering.
- the user interface switches listening modes in response to one or more switching cues.
- the broad listening mode may use an associated broad mode recognition vocabulary and the selective listening mode uses a different associated selective mode recognition vocabulary.
- the switching cues may include one or more mode switching words from the speech inputs, one or more dialog states in the speech dialog, and/or one or more visual cues from the possible speakers.
- the selective listening mode may use acoustic speaker localization and/or image processing for the spatial filtering.
- the user interface may operate in selective listening mode simultaneously in parallel for each of a plurality of selected speakers.
- the interface may be adapted to operate in both listening modes in parallel, whereby the interface accepts speech inputs from any user in the room in the broad listening mode, and at the same time accepts speech inputs from only one selected speaker in the selective listening mode.
- Embodiments of the present invention also include a device for automatic speech recognition (ASR) that includes a voice controlled user interface employing at least one hardware implemented computer processor.
- the user interface is adapted to conduct a speech dialog with one or more possible speakers.
- a user selection module is in communication with the user interface for limiting the user interface using spatial filtering based on image processing of the possible speakers so as to respond to speech inputs from only one specific speaker.
- the spatial filtering may be further based on selective beamforming of multiple microphones.
- the user interface may be further adapted to provide visual feedback to indicate a direction of the specific speaker and/or the identity of the specific speaker.
- the image processing may include performing gesture recognition of visual images of the possible speakers and/or facial recognition of visual images of the faces of the possible speakers.
- FIG. 1 shows an arrangement for using a voice controlled user interface according to an embodiment of the present invention.
- FIG. 2 shows a state diagram for a user dedicated voice controlled user interface according an embodiment of the present invention.
- FIG. 3 shows using acoustic and content information to select a given speaker as the active user.
- FIG. 4 shows using visual information to select a given speaker as the active user.
- FIG. 5 shows using a combination of visual, acoustic and content information to select a given speaker as the active user.
- FIG. 6 shows a sequential arrangement for a voice control interface having sequential alternate modes of operation.
- FIG. 7 shows a parallel arrangement for a voice control interface having simultaneous parallel modes of operation.
- Embodiments of the present invention are directed towards user dedicated ASR which limits the voice control functionality to one selected user rather than to any user who happens to be in the vicinity. This may be based, for example, on a user speaking a special activation word that invokes the user limiting functionality. The system may then remain dedicated to the designated user until a specific dialog ends or some other mode switching event occurs. While operating in user dedicated mode, the system does not respond to any spoken inputs from other users (interfering speakers).
- embodiments of the present invention include a user-dedicated, multi-mode, voice-controlled interface using automatic speech recognition with two different kinds of listening modes: ( 1 ) a broad listening mode that responds to speech inputs from any user in any direction, and ( 2 ) a selective listening mode that limits speech inputs to a specific speaker in a specific location.
- the interface system can switch modes based on different switching cues: dialog-state, certain activation words, or visual gestures.
- the different listening modes may also use different recognition vocabularies, for example, a limited vocabulary in broad listening mode and a larger recognition vocabulary in selective listening mode.
- the system may use acoustic speaker localization and/or video processing means to determine speaker position.
- Embodiments of the present invention also include an arrangement for automatic speech recognition (ASR) which is dedicated to a specific user which does not respond to any other user.
- ASR automatic speech recognition
- Potential users are detected by means of image processing using images from one or more cameras.
- Image processing may rely on detection of one or more user cues to determine and select the dedicated user, for example, gesture recognition, facial recognition, etc.
- the steering direction of the acoustic spatial filter can be controlled, continuing to rely on ongoing visual information.
- User feedback via a GUI
- FIG. 1 shows an arrangement for a voice controlled user interface 100 according to an embodiment of the present invention.
- the voice controlled user interface 100 includes at least two different operating modes. There is a broad listening mode in which the voice controlled user interface 100 broadly accepts speech inputs without any spatial filtering from any one of multiple speakers 102 in a room 101 . In broad listening mode the voice controlled user interface 100 uses a limited broad mode recognition vocabulary that includes a selective mode activation word. When the voice controlled user interface 100 detects the activation word, it enters a selective listening mode that uses spatial filtering to limit speech inputs to a specific speaker 102 in the room 101 using an extended selective mode recognition vocabulary. For example, the selected specific speaker may use the voice controlled user interface 100 in the selective listening mode following a dialog process to control one or more devices such as a television 105 and/or a computer gaming console 106 .
- FIG. 2 shows a state diagram for the operation of the voice controlled user interface 100 .
- the closed arc on the far left shows that the voice controlled user interface 100 stays in broad listening mode so long as the activation word is not detected and a specific speaker has not been identified.
- the arc on top of FIG. 2 shows the transition from broad listening mode to selective listening mode that occurs when the voice controlled user interface 100 detects that the activation word has been spoken and a specific speaker is successfully identified.
- the closed arc on the far right side of FIG. 2 shows that the voice controlled user interface 100 stays in selective listening mode so long as the location of the specific speaker is known, until either a dialog process with the speaker ends or some other event changes the mode back to broad listening mode as shown by the arc across the bottom of FIG. 2 .
- the spatial filtering of a specific speaker performed in selective listening mode may be based a combination of content information together with acoustic information, as shown in FIG. 3 .
- Content information is present when the activation word is spotted in broad listening mode.
- Acoustic information is present when acoustic speaker localization is performed by the interface to select speech inputs from multiple microphones in the room and perform selective beamforming of the microphone signals to localize the speech inputs to a specific speaker.
- the selective listening mode also may be entered based on using image processing with the spatial filtering.
- the interface may use visual image information from a camera and/or a video processing engine to determine how many persons are visible and what their position relative to the microphone array is.
- the interface may select a specific speaker by using the image processing together with gesture recognition to recognize a specific gesture in combination with the activation word.
- Embodiments using image processing can track the position of the specific speaker even when no commands are being spoken.
- some embodiments may perform the spatial filtering using a combination of acoustic, image and content information.
- FIG. 6 shows functional blocks in a multimode voice controlled user interface which sequentially switches between listening modes.
- the broad listening mode may be engaged in response to the specific speaker completing a speech dialog with the interface in selective listening mode such that the interface sequentially alternates between the listening modes.
- a control module in the interface uses a mode select switch to select a single microphone in the room to accept speech inputs from anyone in the room.
- ASR automatic speech recognition
- a feedback signal is provided from the ASR to the control module when the activation word is detected by the ASR.
- the control module uses visual information and dialogue state information to spatially filter the microphone array inputs through time delay estimation (TDE) and user-specific beamforming (BF 1 , BF 2 , etc.) to keep the interface focus on the selected specific speaker who was determined to have activated the selective listening mode for as long as the user dialog continues.
- TDE time delay estimation
- BF 1 , BF 2 , etc. user-specific beamforming
- FIG. 7 shows functional blocks in a multimode voice controlled user interface which processes user speech inputs in parallel while operating in different listening modes.
- the interface operates in broad listening mode to accept speech inputs from any user in the room using the limited broad mode recognition vocabulary broad listening mode, and at the same time, operates in selective listening mode for one or more specific speakers to accept speech inputs using the extended selective listening mode recognition vocabulary.
- the interface is open for other users in broad and/or selective listening mode.
- another user can start a second selective mode instance, for example, to start a separate dialogue or to participate in the currently existing dialogue (e.g., for computer gaming) while multiple directional sensing beams are aimed at each speaker. This could support dialogs with multiple speakers, as for example, in a quiz-gaming application.
- a visual display may show a schematic image of the room scene with user highlighting to identify the location of the selected specific speaker.
- a light bar display can be intensity coded to indicate that spatial direction of the selected specific speaker.
- an avatar may be used to deliver listening mode feedback as part of a dialog with the user(s).
- one useful application of the foregoing would be in the specific context of controlling a television or gaming console based on user dedicated ASR with broad and selective listening modes where potential users and their spatial positions are detected by means of one or more cameras.
- the interface system is in broad listening mode and potential user information is provided to a spatial voice activity detection process that checks speaker positions for voice activity.
- the broad listening mode detects the mode switching cue, e.g. the activation word
- the spatial voice activity detection process provides information about who provided that switching cue.
- the interface system then switches to selective listening mode by spatial filtering (beamforming and/or blind source separation) and dedicates/limits the ASR to that user.
- User feedback is also provided over a GUI as to listening direction, and from then on the spatial position of the dedicated user is followed by the one or more cameras.
- a mode transition back to broad listening mode may depend on dialog state or another switching cue.
- Embodiments of the invention may be implemented in whole or in part in any conventional computer programming language such as VHDL, SystemC, Verilog, ASM, etc.
- Alternative embodiments of the invention may be implemented as pre-programmed hardware elements, other related components, or as a combination of hardware and software components.
- Embodiments can be implemented in whole or in part as a computer program product for use with a computer system.
- Such implementation may include a series of computer instructions fixed either on a tangible medium, such as a computer readable medium (e.g., a diskette, CD-ROM, ROM, or fixed disk) or transmittable to a computer system, via a modem or other interface device, such as a communications adapter connected to a network over a medium.
- the medium may be either a tangible medium (e.g., optical or analog communications lines) or a medium implemented with wireless techniques (e.g., microwave, infrared or other transmission techniques).
- the series of computer instructions embodies all or part of the functionality previously described herein with respect to the system.
- Such computer instructions can be written in a number of programming languages for use with many computer architectures or operating systems. Furthermore, such instructions may be stored in any memory device, such as semiconductor, magnetic, optical or other memory devices, and may be transmitted using any communications technology, such as optical, infrared, microwave, or other transmission technologies. It is expected that such a computer program product may be distributed as a removable medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the network (e.g., the Internet or World Wide Web). Of course, some embodiments of the invention may be implemented as a combination of both software (e.g., a computer program product) and hardware. Still other embodiments of the invention are implemented as entirely hardware, or entirely software (e.g., a computer program product).
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Acoustics & Sound (AREA)
- Computational Linguistics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- User Interface Of Digital Computer (AREA)
- Circuit For Audible Band Transducer (AREA)
- Position Input By Displaying (AREA)
Abstract
A multi-mode voice controlled user interface is described. The user interface is adapted to conduct a speech dialog with one or more possible speakers and includes a broad listening mode which accepts speech inputs from the possible speakers without spatial filtering, and a selective listening mode which limits speech inputs to a specific speaker using spatial filtering. The user interface switches listening modes in response to one or more switching cues.
Description
- The present invention relates to user interfaces for computer systems, and more specifically to a user dedicated, multi-mode, voice controlled interface using automatic speech recognition.
- In voice controlled devices, automatic speech recognition (ASR) typically is triggered using a push-to-talk (PTT) button. Pushing the PTT button makes the system respond to any spoken word inputs regardless of who uttered the speech. In distant talking applications such as voice controlled televisions or computer gaming consoles, the PTT button may be replaced by an activation word command. In addition, there may be more than one user that may potentially want to do voice control.
- ASR systems typically are equipped with a signal preprocessor to cope with interference and noise. Often multiple microphones are used, particularly for distant talking interfaces where the speech enhancement algorithm is spatially steered towards the assumed direction of the speaker (beamforming) Consequently, interferences from other directions will be suppressed. This improves the ASR performance for the desired speaker, but decreases the ASR performance for others. Thus the ASR performance depends on the spatial position of the speaker relative to the microphone array and on the steering direction of the beamforming algorithm.
- Embodiments of the present invention are directed to a multi-mode voice controlled user interface for an automatic speech recognition (ASR) system employing at least one hardware implemented computer processor, and corresponding methods of using such an interface. The user interface is adapted to conduct a speech dialog with one or more possible speakers and includes a broad listening mode which accepts speech inputs from the possible speakers without spatial filtering, and a selective listening mode which limits speech inputs to a specific speaker using spatial filtering. The user interface switches listening modes in response to one or more switching cues.
- The broad listening mode may use an associated broad mode recognition vocabulary and the selective listening mode uses a different associated selective mode recognition vocabulary. The switching cues may include one or more mode switching words from the speech inputs, one or more dialog states in the speech dialog, and/or one or more visual cues from the possible speakers. The selective listening mode may use acoustic speaker localization and/or image processing for the spatial filtering.
- The user interface may operate in selective listening mode simultaneously in parallel for each of a plurality of selected speakers. In addition or alternatively, the interface may be adapted to operate in both listening modes in parallel, whereby the interface accepts speech inputs from any user in the room in the broad listening mode, and at the same time accepts speech inputs from only one selected speaker in the selective listening mode.
- Embodiments of the present invention also include a device for automatic speech recognition (ASR) that includes a voice controlled user interface employing at least one hardware implemented computer processor. The user interface is adapted to conduct a speech dialog with one or more possible speakers. A user selection module is in communication with the user interface for limiting the user interface using spatial filtering based on image processing of the possible speakers so as to respond to speech inputs from only one specific speaker.
- The spatial filtering may be further based on selective beamforming of multiple microphones. The user interface may be further adapted to provide visual feedback to indicate a direction of the specific speaker and/or the identity of the specific speaker. The image processing may include performing gesture recognition of visual images of the possible speakers and/or facial recognition of visual images of the faces of the possible speakers.
-
FIG. 1 shows an arrangement for using a voice controlled user interface according to an embodiment of the present invention. -
FIG. 2 shows a state diagram for a user dedicated voice controlled user interface according an embodiment of the present invention. -
FIG. 3 shows using acoustic and content information to select a given speaker as the active user. -
FIG. 4 shows using visual information to select a given speaker as the active user. -
FIG. 5 shows using a combination of visual, acoustic and content information to select a given speaker as the active user. -
FIG. 6 shows a sequential arrangement for a voice control interface having sequential alternate modes of operation. -
FIG. 7 shows a parallel arrangement for a voice control interface having simultaneous parallel modes of operation. - Embodiments of the present invention are directed towards user dedicated ASR which limits the voice control functionality to one selected user rather than to any user who happens to be in the vicinity. This may be based, for example, on a user speaking a special activation word that invokes the user limiting functionality. The system may then remain dedicated to the designated user until a specific dialog ends or some other mode switching event occurs. While operating in user dedicated mode, the system does not respond to any spoken inputs from other users (interfering speakers).
- More particularly, embodiments of the present invention include a user-dedicated, multi-mode, voice-controlled interface using automatic speech recognition with two different kinds of listening modes: (1) a broad listening mode that responds to speech inputs from any user in any direction, and (2) a selective listening mode that limits speech inputs to a specific speaker in a specific location. The interface system can switch modes based on different switching cues: dialog-state, certain activation words, or visual gestures. The different listening modes may also use different recognition vocabularies, for example, a limited vocabulary in broad listening mode and a larger recognition vocabulary in selective listening mode. To limit the speech inputs to a specific speaker, the system may use acoustic speaker localization and/or video processing means to determine speaker position.
- Embodiments of the present invention also include an arrangement for automatic speech recognition (ASR) which is dedicated to a specific user which does not respond to any other user. Potential users are detected by means of image processing using images from one or more cameras. Image processing may rely on detection of one or more user cues to determine and select the dedicated user, for example, gesture recognition, facial recognition, etc. Based on the results of such user selection, the steering direction of the acoustic spatial filter can be controlled, continuing to rely on ongoing visual information. User feedback (via a GUI) can be given to identify the direction and/or identity of the selected dedicated user, for example, to indicate the spatial steering direction of the system.
-
FIG. 1 shows an arrangement for a voice controlleduser interface 100 according to an embodiment of the present invention. The voice controlleduser interface 100 includes at least two different operating modes. There is a broad listening mode in which the voice controlleduser interface 100 broadly accepts speech inputs without any spatial filtering from any one ofmultiple speakers 102 in aroom 101. In broad listening mode the voice controlleduser interface 100 uses a limited broad mode recognition vocabulary that includes a selective mode activation word. When the voice controlleduser interface 100 detects the activation word, it enters a selective listening mode that uses spatial filtering to limit speech inputs to aspecific speaker 102 in theroom 101 using an extended selective mode recognition vocabulary. For example, the selected specific speaker may use the voice controlleduser interface 100 in the selective listening mode following a dialog process to control one or more devices such as a television 105 and/or acomputer gaming console 106. -
FIG. 2 shows a state diagram for the operation of the voice controlleduser interface 100. Starting in broad listening mode on the left side ofFIG. 2 , the closed arc on the far left shows that the voice controlleduser interface 100 stays in broad listening mode so long as the activation word is not detected and a specific speaker has not been identified. The arc on top ofFIG. 2 shows the transition from broad listening mode to selective listening mode that occurs when the voice controlleduser interface 100 detects that the activation word has been spoken and a specific speaker is successfully identified. When in selective listening mode, the closed arc on the far right side ofFIG. 2 shows that the voice controlleduser interface 100 stays in selective listening mode so long as the location of the specific speaker is known, until either a dialog process with the speaker ends or some other event changes the mode back to broad listening mode as shown by the arc across the bottom ofFIG. 2 . - The spatial filtering of a specific speaker performed in selective listening mode may be based a combination of content information together with acoustic information, as shown in
FIG. 3 . Content information is present when the activation word is spotted in broad listening mode. Acoustic information is present when acoustic speaker localization is performed by the interface to select speech inputs from multiple microphones in the room and perform selective beamforming of the microphone signals to localize the speech inputs to a specific speaker. - As shown in
FIG. 4 , the selective listening mode also may be entered based on using image processing with the spatial filtering. Once the activation word has been detected in broad listening mode, the interface may use visual image information from a camera and/or a video processing engine to determine how many persons are visible and what their position relative to the microphone array is. The interface may select a specific speaker by using the image processing together with gesture recognition to recognize a specific gesture in combination with the activation word. Embodiments using image processing can track the position of the specific speaker even when no commands are being spoken. And as shown inFIG. 5 , some embodiments may perform the spatial filtering using a combination of acoustic, image and content information. -
FIG. 6 shows functional blocks in a multimode voice controlled user interface which sequentially switches between listening modes. In such an arrangement, the broad listening mode may be engaged in response to the specific speaker completing a speech dialog with the interface in selective listening mode such that the interface sequentially alternates between the listening modes. As a result, only one user at time can operate the interface. In broad listening mode, a control module in the interface uses a mode select switch to select a single microphone in the room to accept speech inputs from anyone in the room. After applying noise reduction (NR), automatic speech recognition (ASR) is performed using the limited broad mode recognition vocabulary (a limited set of recognition models) that includes a selective mode activation word. A feedback signal is provided from the ASR to the control module when the activation word is detected by the ASR. The control module then uses visual information and dialogue state information to spatially filter the microphone array inputs through time delay estimation (TDE) and user-specific beamforming (BF1, BF2, etc.) to keep the interface focus on the selected specific speaker who was determined to have activated the selective listening mode for as long as the user dialog continues. -
FIG. 7 shows functional blocks in a multimode voice controlled user interface which processes user speech inputs in parallel while operating in different listening modes. Thus the interface operates in broad listening mode to accept speech inputs from any user in the room using the limited broad mode recognition vocabulary broad listening mode, and at the same time, operates in selective listening mode for one or more specific speakers to accept speech inputs using the extended selective listening mode recognition vocabulary. Even when one user already operates the system in the selective mode, the interface is open for other users in broad and/or selective listening mode. Thus, another user can start a second selective mode instance, for example, to start a separate dialogue or to participate in the currently existing dialogue (e.g., for computer gaming) while multiple directional sensing beams are aimed at each speaker. This could support dialogs with multiple speakers, as for example, in a quiz-gaming application. - Depending on the listening mode, different acoustic models may be used in the ASR engine or even different ASR engines may be used. Either way, the ASR grammar needs to be switched when switching listening modes. For some number of multiple users M, there may either be N=M beams, N<M beams or N=1 beam used by the interface.
- It may be useful for the interface to communicate to the specific speaker when the device is in selective listening mode and listening only to him. There are several different ways in which this can be done. For example, a visual display may show a schematic image of the room scene with user highlighting to identify the location of the selected specific speaker. Or more simply, a light bar display can be intensity coded to indicate that spatial direction of the selected specific speaker. Or an avatar may be used to deliver listening mode feedback as part of a dialog with the user(s).
- For example, one useful application of the foregoing would be in the specific context of controlling a television or gaming console based on user dedicated ASR with broad and selective listening modes where potential users and their spatial positions are detected by means of one or more cameras. Initially, the interface system is in broad listening mode and potential user information is provided to a spatial voice activity detection process that checks speaker positions for voice activity. When the broad listening mode detects the mode switching cue, e.g. the activation word, the spatial voice activity detection process provides information about who provided that switching cue. The interface system then switches to selective listening mode by spatial filtering (beamforming and/or blind source separation) and dedicates/limits the ASR to that user. User feedback is also provided over a GUI as to listening direction, and from then on the spatial position of the dedicated user is followed by the one or more cameras. A mode transition back to broad listening mode may depend on dialog state or another switching cue.
- Embodiments of the invention may be implemented in whole or in part in any conventional computer programming language such as VHDL, SystemC, Verilog, ASM, etc. Alternative embodiments of the invention may be implemented as pre-programmed hardware elements, other related components, or as a combination of hardware and software components.
- Embodiments can be implemented in whole or in part as a computer program product for use with a computer system. Such implementation may include a series of computer instructions fixed either on a tangible medium, such as a computer readable medium (e.g., a diskette, CD-ROM, ROM, or fixed disk) or transmittable to a computer system, via a modem or other interface device, such as a communications adapter connected to a network over a medium. The medium may be either a tangible medium (e.g., optical or analog communications lines) or a medium implemented with wireless techniques (e.g., microwave, infrared or other transmission techniques). The series of computer instructions embodies all or part of the functionality previously described herein with respect to the system. Those skilled in the art should appreciate that such computer instructions can be written in a number of programming languages for use with many computer architectures or operating systems. Furthermore, such instructions may be stored in any memory device, such as semiconductor, magnetic, optical or other memory devices, and may be transmitted using any communications technology, such as optical, infrared, microwave, or other transmission technologies. It is expected that such a computer program product may be distributed as a removable medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the network (e.g., the Internet or World Wide Web). Of course, some embodiments of the invention may be implemented as a combination of both software (e.g., a computer program product) and hardware. Still other embodiments of the invention are implemented as entirely hardware, or entirely software (e.g., a computer program product).
- Although various exemplary embodiments of the invention have been disclosed, it should be apparent to those skilled in the art that various changes and modifications can be made which will achieve some of the advantages of the invention without departing from the true scope of the invention.
Claims (26)
1. A device for automatic speech recognition (ASR) comprising:
a multi-mode voice controlled user interface employing at least one hardware implemented computer processor, wherein the user interface is adapted to conduct a speech dialog with one or more possible speakers and includes:
a broad listening mode which accepts speech inputs from the possible speakers without spatial filtering; and
a selective listening mode which limits speech inputs to a specific speaker using spatial filtering;
wherein the user interface switches listening modes in response to one or more switching cues.
2. A device according to claim 1 , wherein the broad listening mode uses an associated broad mode recognition vocabulary and the selective listening mode uses a different associated selective mode recognition vocabulary.
3. A device according to claim 1 , wherein the switching cues include one or more mode switching words from the speech inputs.
4. A device according to claim 1 , wherein the switching cues include one or more dialog states in the speech dialog.
5. A device according to claim 1 , wherein the switching cues include one or more visual cues from the possible speakers.
6. A device according to claim 1 , wherein the selective listening mode uses acoustic speaker localization for the spatial filtering.
7. A device according to claim 1 , wherein the selective listening mode uses image processing for the spatial filtering.
8. A device according to claim 1 , wherein the user interface operates in selective listening mode simultaneously in parallel for each of a plurality of selected speakers.
9. A device according to claim 1 , wherein the interface is adapted to operate in both listening modes in parallel, whereby the interface accepts speech inputs from any user in the room in the broad listening mode, and at the same time accepts speech inputs from only one selected speaker in the selective listening mode.
10. A computer program product encoded in a non-transitory computer-readable medium for operating an automatic speech recognition (ASR) system, the product comprising:
program code for conducting a speech dialog with one or more possible speakers via a multi-mode voice controlled user interface adapted to:
accept speech inputs from the possible speakers in a broad listening mode without spatial filtering; and
limit speech inputs to a specific speaker in a selective listening mode using spatial filtering;
wherein the user interface switches listening modes in response to one or more switching cues.
11. (canceled)
12. (canceled)
13. (canceled)
14. (canceled)
15. (canceled)
16. (canceled)
17. (canceled)
18. A method for automatic speech recognition (ASR) comprising:
employing a multi-mode voice controlled user interface having a computer processor to conduct a speech dialog with one or more possible speakers by:
employing a broad listening mode which accepts speech inputs from the possible speakers without spatial filtering; and
employing a selective listening mode which limits speech inputs to a specific speaker using spatial filtering;
wherein the user interface switches listening modes in response to one or more switching cues.
19. The method according to claim 18 , wherein the broad listening mode uses an associated broad mode recognition vocabulary and the selective listening mode uses a different associated selective mode recognition vocabulary.
20. The method according to claim 18 , wherein the switching cues include one or more mode switching words from the speech inputs.
21. The method according to claim 18 , wherein the switching cues include one or more dialog states in the speech dialog.
22. The method according to claim 18 , wherein the switching cues include one or more visual cues from the possible speakers.
23. The method according to claim 18 , wherein the selective listening mode includes using acoustic speaker localization for the spatial filtering.
24. The method according to claim 18 , wherein the selective listening mode includes using image processing for the spatial filtering.
25. The method according to claim 18 , wherein the user interface operates in selective listening mode simultaneously in parallel for each of a plurality of selected speakers.
26. The method according to claim 18 , wherein the user interface operates in both listening modes in parallel, such that the interface accepts speech inputs from any user in the room in the broad listening mode, and at the same time accepts speech inputs from only one selected speaker in the selective listening mode.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/US2012/029359 WO2013137900A1 (en) | 2012-03-16 | 2012-03-16 | User dedicated automatic speech recognition |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2012/029359 A-371-Of-International WO2013137900A1 (en) | 2012-03-16 | 2012-03-16 | User dedicated automatic speech recognition |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/876,545 Continuation US10789950B2 (en) | 2012-03-16 | 2018-01-22 | User dedicated automatic speech recognition |
Publications (1)
Publication Number | Publication Date |
---|---|
US20150046157A1 true US20150046157A1 (en) | 2015-02-12 |
Family
ID=45888502
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/382,839 Abandoned US20150046157A1 (en) | 2012-03-16 | 2012-03-16 | User Dedicated Automatic Speech Recognition |
US15/876,545 Expired - Fee Related US10789950B2 (en) | 2012-03-16 | 2018-01-22 | User dedicated automatic speech recognition |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/876,545 Expired - Fee Related US10789950B2 (en) | 2012-03-16 | 2018-01-22 | User dedicated automatic speech recognition |
Country Status (6)
Country | Link |
---|---|
US (2) | US20150046157A1 (en) |
EP (1) | EP2817801B1 (en) |
JP (1) | JP2015513704A (en) |
KR (1) | KR101641448B1 (en) |
CN (1) | CN104488025A (en) |
WO (1) | WO2013137900A1 (en) |
Cited By (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140136203A1 (en) * | 2012-11-14 | 2014-05-15 | Qualcomm Incorporated | Device and system having smart directional conferencing |
US9478234B1 (en) | 2015-07-13 | 2016-10-25 | Knowles Electronics, Llc | Microphone apparatus and method with catch-up buffer |
US9502028B2 (en) | 2013-10-18 | 2016-11-22 | Knowles Electronics, Llc | Acoustic activity detection apparatus and method |
US20170083285A1 (en) * | 2015-09-21 | 2017-03-23 | Amazon Technologies, Inc. | Device selection for providing a response |
US9697828B1 (en) * | 2014-06-20 | 2017-07-04 | Amazon Technologies, Inc. | Keyword detection modeling using contextual and environmental information |
US9712923B2 (en) | 2013-05-23 | 2017-07-18 | Knowles Electronics, Llc | VAD detection microphone and method of operating the same |
US9711166B2 (en) | 2013-05-23 | 2017-07-18 | Knowles Electronics, Llc | Decimation synchronization in a microphone |
US9830080B2 (en) | 2015-01-21 | 2017-11-28 | Knowles Electronics, Llc | Low power voice trigger for acoustic apparatus and method |
US9830913B2 (en) | 2013-10-29 | 2017-11-28 | Knowles Electronics, Llc | VAD detection apparatus and method of operation the same |
US20180137861A1 (en) * | 2015-05-22 | 2018-05-17 | Sony Corporation | Information processing apparatus, information processing method, and program |
US20180166073A1 (en) * | 2016-12-13 | 2018-06-14 | Ford Global Technologies, Llc | Speech Recognition Without Interrupting The Playback Audio |
US10020008B2 (en) | 2013-05-23 | 2018-07-10 | Knowles Electronics, Llc | Microphone and corresponding digital interface |
WO2018135803A1 (en) * | 2017-01-20 | 2018-07-26 | Samsung Electronics Co., Ltd. | Voice input processing method and electronic device for supporting the same |
US20180286392A1 (en) * | 2017-04-03 | 2018-10-04 | Motorola Mobility Llc | Multi mode voice assistant for the hearing disabled |
US10121472B2 (en) | 2015-02-13 | 2018-11-06 | Knowles Electronics, Llc | Audio buffer catch-up apparatus and method with two microphones |
US10157611B1 (en) | 2017-11-29 | 2018-12-18 | Nuance Communications, Inc. | System and method for speech enhancement in multisource environments |
US10304475B1 (en) * | 2017-08-14 | 2019-05-28 | Amazon Technologies, Inc. | Trigger word based beam selection |
US10482904B1 (en) | 2017-08-15 | 2019-11-19 | Amazon Technologies, Inc. | Context driven device arbitration |
US10482878B2 (en) | 2017-11-29 | 2019-11-19 | Nuance Communications, Inc. | System and method for speech enhancement in multisource environments |
EP3520102A4 (en) * | 2016-09-30 | 2020-06-24 | Dolby Laboratories Licensing Corporation | Context aware hearing optimization engine |
US10746840B1 (en) * | 2013-04-04 | 2020-08-18 | Amazon Technologies, Inc. | Beam rejection in multi-beam microphone systems |
US10789950B2 (en) | 2012-03-16 | 2020-09-29 | Nuance Communications, Inc. | User dedicated automatic speech recognition |
US20210043198A1 (en) * | 2018-03-29 | 2021-02-11 | Panasonic Intellectual Property Management Co., Ltd. | Voice processing device, voice processing method and voice processing system |
US11217254B2 (en) * | 2018-12-24 | 2022-01-04 | Google Llc | Targeted voice separation by speaker conditioned on spectrogram masking |
US20220004349A1 (en) * | 2017-07-11 | 2022-01-06 | Roku, Inc. | Controlling visual indicators in an audio responsive electronic device, and capturing and providing audio using an api, by native and non-native computing devices and services |
US11237794B2 (en) | 2016-02-18 | 2022-02-01 | Sony Corporation | Information processing device and information processing method |
US11302341B2 (en) * | 2017-01-26 | 2022-04-12 | Yutou Technology (Hangzhou) Co., Ltd. | Microphone array based pickup method and system |
US11321866B2 (en) * | 2020-01-02 | 2022-05-03 | Lg Electronics Inc. | Approach photographing device and method for controlling the same |
US11367437B2 (en) * | 2019-05-30 | 2022-06-21 | Nuance Communications, Inc. | Multi-microphone speech dialog system for multiple spatial zones |
US11646025B2 (en) | 2017-08-28 | 2023-05-09 | Roku, Inc. | Media system with multiple digital assistants |
US11664026B2 (en) | 2018-02-13 | 2023-05-30 | Roku, Inc. | Trigger word detection with multiple digital assistants |
US11804227B2 (en) | 2017-08-28 | 2023-10-31 | Roku, Inc. | Local and cloud speech recognition |
US12254891B2 (en) | 2019-10-10 | 2025-03-18 | Google Llc | Targeted voice separation by speaker for speech recognition |
Families Citing this family (29)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6678315B2 (en) * | 2015-04-24 | 2020-04-08 | パナソニックIpマネジメント株式会社 | Voice reproduction method, voice interaction device, and voice interaction program |
US9826599B2 (en) * | 2015-12-28 | 2017-11-21 | Amazon Technologies, Inc. | Voice-controlled light switches |
EP3414759B1 (en) | 2016-02-10 | 2020-07-01 | Cerence Operating Company | Techniques for spatially selective wake-up word recognition and related systems and methods |
US11545146B2 (en) | 2016-11-10 | 2023-01-03 | Cerence Operating Company | Techniques for language independent wake-up word detection |
US10510362B2 (en) * | 2017-03-31 | 2019-12-17 | Bose Corporation | Directional capture of audio based on voice-activity detection |
US11250844B2 (en) | 2017-04-12 | 2022-02-15 | Soundhound, Inc. | Managing agent engagement in a man-machine dialog |
KR101975423B1 (en) * | 2017-06-02 | 2019-05-07 | 네이버 주식회사 | Method and apparatus for providing appropriate information for location and space of user actively |
US11316865B2 (en) | 2017-08-10 | 2022-04-26 | Nuance Communications, Inc. | Ambient cooperative intelligence system and method |
US20190066823A1 (en) | 2017-08-10 | 2019-02-28 | Nuance Communications, Inc. | Automated Clinical Documentation System and Method |
EP3567470A4 (en) * | 2017-11-07 | 2020-03-25 | Sony Corporation | Information processing device and electronic apparatus |
WO2019118089A1 (en) | 2017-12-11 | 2019-06-20 | Analog Devices, Inc. | Multi-modal far field user interfaces and vision-assisted audio processing |
WO2019173333A1 (en) | 2018-03-05 | 2019-09-12 | Nuance Communications, Inc. | Automated clinical documentation system and method |
US20190272895A1 (en) | 2018-03-05 | 2019-09-05 | Nuance Communications, Inc. | System and method for review of automated clinical documentation |
US11250382B2 (en) | 2018-03-05 | 2022-02-15 | Nuance Communications, Inc. | Automated clinical documentation system and method |
CN109272989B (en) * | 2018-08-29 | 2021-08-10 | 北京京东尚科信息技术有限公司 | Voice wake-up method, apparatus and computer readable storage medium |
CN109725725B (en) * | 2018-12-29 | 2022-08-12 | 出门问问信息科技有限公司 | Intelligent interactive terminal and information processing method of intelligent interactive terminal |
CN110148406B (en) * | 2019-04-12 | 2022-03-04 | 北京搜狗科技发展有限公司 | Data processing method and device for data processing |
US20200349933A1 (en) | 2019-04-30 | 2020-11-05 | Nuance Communications, Inc. | Speech Dialog System Aware of Ongoing Conversations |
US11216480B2 (en) | 2019-06-14 | 2022-01-04 | Nuance Communications, Inc. | System and method for querying data points from graph data structures |
US11227679B2 (en) | 2019-06-14 | 2022-01-18 | Nuance Communications, Inc. | Ambient clinical intelligence system and method |
US11043207B2 (en) | 2019-06-14 | 2021-06-22 | Nuance Communications, Inc. | System and method for array data simulation and customized acoustic modeling for ambient ASR |
US11531807B2 (en) | 2019-06-28 | 2022-12-20 | Nuance Communications, Inc. | System and method for customized text macros |
JP6886118B2 (en) * | 2019-08-27 | 2021-06-16 | 富士通クライアントコンピューティング株式会社 | Information processing equipment and programs |
US11670408B2 (en) | 2019-09-30 | 2023-06-06 | Nuance Communications, Inc. | System and method for review of automated clinical documentation |
CN110797043B (en) * | 2019-11-13 | 2022-04-12 | 思必驰科技股份有限公司 | Conference voice real-time transcription method and system |
JP6887035B1 (en) * | 2020-02-26 | 2021-06-16 | 株式会社サイバーエージェント | Control systems, control devices, control methods and computer programs |
US11222103B1 (en) | 2020-10-29 | 2022-01-11 | Nuance Communications, Inc. | Ambient cooperative intelligence system and method |
WO2022260655A1 (en) * | 2021-06-08 | 2022-12-15 | Hewlett-Packard Development Company, L.P. | Gestures for switching audio endpoints |
US20230197097A1 (en) * | 2021-12-16 | 2023-06-22 | Mediatek Inc. | Sound enhancement method and related communication apparatus |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1400814A2 (en) * | 2002-09-17 | 2004-03-24 | Kabushiki Kaisha Toshiba | Directional setting apparatus, directional setting system, directional setting method and directional setting program |
US20080162120A1 (en) * | 2007-01-03 | 2008-07-03 | Motorola, Inc. | Method and apparatus for providing feedback of vocal quality to a user |
US20090055170A1 (en) * | 2005-08-11 | 2009-02-26 | Katsumasa Nagahama | Sound Source Separation Device, Speech Recognition Device, Mobile Telephone, Sound Source Separation Method, and Program |
US20090204410A1 (en) * | 2008-02-13 | 2009-08-13 | Sensory, Incorporated | Voice interface and search for electronic devices including bluetooth headsets and remote systems |
US8700392B1 (en) * | 2010-09-10 | 2014-04-15 | Amazon Technologies, Inc. | Speech-inclusive device interfaces |
Family Cites Families (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6850252B1 (en) * | 1999-10-05 | 2005-02-01 | Steven M. Hoffberg | Intelligent electronic appliance system and method |
US6125341A (en) * | 1997-12-19 | 2000-09-26 | Nortel Networks Corporation | Speech recognition system and method |
US6556970B1 (en) * | 1999-01-28 | 2003-04-29 | Denso Corporation | Apparatus for determining appropriate series of words carrying information to be recognized |
US7966078B2 (en) * | 1999-02-01 | 2011-06-21 | Steven Hoffberg | Network media appliance system and method |
CN1177312C (en) * | 2000-09-13 | 2004-11-24 | 中国科学院自动化研究所 | A Unified Recognition Method for Multiple Speech Working Modes |
US6894714B2 (en) * | 2000-12-05 | 2005-05-17 | Koninklijke Philips Electronics N.V. | Method and apparatus for predicting events in video conferencing and other applications |
JP2003114699A (en) * | 2001-10-03 | 2003-04-18 | Auto Network Gijutsu Kenkyusho:Kk | In-vehicle speech recognition system |
WO2003107327A1 (en) * | 2002-06-17 | 2003-12-24 | Koninklijke Philips Electronics N.V. | Controlling an apparatus based on speech |
EP2587481B1 (en) * | 2002-10-23 | 2020-01-08 | Nuance Communications, Inc. | Controlling an apparatus based on speech |
JP2004184803A (en) * | 2002-12-05 | 2004-07-02 | Nissan Motor Co Ltd | Speech recognition device for vehicle |
JP4267385B2 (en) * | 2003-06-30 | 2009-05-27 | 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 | Statistical language model generation device, speech recognition device, statistical language model generation method, speech recognition method, and program |
US7190775B2 (en) * | 2003-10-29 | 2007-03-13 | Broadcom Corporation | High quality audio conferencing with adaptive beamforming |
US7355508B2 (en) * | 2004-05-21 | 2008-04-08 | International Electronic Machines Corp. | System and method for monitoring an area |
EP1695873B1 (en) * | 2005-02-23 | 2008-07-09 | Harman Becker Automotive Systems GmbH | Vehicle speech recognition system |
US7620549B2 (en) * | 2005-08-10 | 2009-11-17 | Voicebox Technologies, Inc. | System and method of supporting adaptive misrecognition in conversational speech |
US20080253589A1 (en) * | 2005-09-21 | 2008-10-16 | Koninklijke Philips Electronics N.V. | Ultrasound Imaging System with Voice Activated Controls Using Remotely Positioned Microphone |
JP2007318438A (en) * | 2006-05-25 | 2007-12-06 | Yamaha Corp | Voice state data generating device, voice state visualizing device, voice state data editing device, voice data reproducing device, and voice communication system |
JP4877112B2 (en) * | 2007-07-12 | 2012-02-15 | ヤマハ株式会社 | Voice processing apparatus and program |
US20090055180A1 (en) * | 2007-08-23 | 2009-02-26 | Coon Bradley S | System and method for optimizing speech recognition in a vehicle |
US8218033B2 (en) * | 2007-09-10 | 2012-07-10 | Sanyo Electric Co., Ltd. | Sound corrector, sound recording device, sound reproducing device, and sound correcting method |
US8175291B2 (en) * | 2007-12-19 | 2012-05-08 | Qualcomm Incorporated | Systems, methods, and apparatus for multi-microphone based speech enhancement |
EP2222091B1 (en) * | 2009-02-23 | 2013-04-24 | Nuance Communications, Inc. | Method for determining a set of filter coefficients for an acoustic echo compensation means |
US20100217590A1 (en) * | 2009-02-24 | 2010-08-26 | Broadcom Corporation | Speaker localization system and method |
US8340654B2 (en) * | 2009-05-26 | 2012-12-25 | Lextech Labs Llc | Apparatus and method for video display and control for portable device |
JP2011061461A (en) * | 2009-09-09 | 2011-03-24 | Sony Corp | Imaging apparatus, directivity control method, and program therefor |
US8649533B2 (en) * | 2009-10-02 | 2014-02-11 | Ford Global Technologies, Llc | Emotive advisory system acoustic environment |
US9197736B2 (en) * | 2009-12-31 | 2015-11-24 | Digimarc Corporation | Intuitive computing methods and systems |
US8660355B2 (en) * | 2010-03-19 | 2014-02-25 | Digimarc Corporation | Methods and systems for determining image processing operations relevant to particular imagery |
CN102237086A (en) * | 2010-04-28 | 2011-11-09 | 三星电子株式会社 | Compensation device and method for voice recognition equipment |
US8818800B2 (en) * | 2011-07-29 | 2014-08-26 | 2236008 Ontario Inc. | Off-axis audio suppressions in an automobile cabin |
US8660847B2 (en) * | 2011-09-02 | 2014-02-25 | Microsoft Corporation | Integrated local and cloud based speech recognition |
KR101641448B1 (en) | 2012-03-16 | 2016-07-20 | 뉘앙스 커뮤니케이션즈, 인코포레이티드 | User dedicated automatic speech recognition |
-
2012
- 2012-03-16 KR KR1020147025374A patent/KR101641448B1/en not_active Expired - Fee Related
- 2012-03-16 US US14/382,839 patent/US20150046157A1/en not_active Abandoned
- 2012-03-16 JP JP2015500412A patent/JP2015513704A/en active Pending
- 2012-03-16 CN CN201280071506.0A patent/CN104488025A/en active Pending
- 2012-03-16 EP EP12710851.2A patent/EP2817801B1/en active Active
- 2012-03-16 WO PCT/US2012/029359 patent/WO2013137900A1/en active Application Filing
-
2018
- 2018-01-22 US US15/876,545 patent/US10789950B2/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1400814A2 (en) * | 2002-09-17 | 2004-03-24 | Kabushiki Kaisha Toshiba | Directional setting apparatus, directional setting system, directional setting method and directional setting program |
US20090055170A1 (en) * | 2005-08-11 | 2009-02-26 | Katsumasa Nagahama | Sound Source Separation Device, Speech Recognition Device, Mobile Telephone, Sound Source Separation Method, and Program |
US20080162120A1 (en) * | 2007-01-03 | 2008-07-03 | Motorola, Inc. | Method and apparatus for providing feedback of vocal quality to a user |
US20090204410A1 (en) * | 2008-02-13 | 2009-08-13 | Sensory, Incorporated | Voice interface and search for electronic devices including bluetooth headsets and remote systems |
US8700392B1 (en) * | 2010-09-10 | 2014-04-15 | Amazon Technologies, Inc. | Speech-inclusive device interfaces |
Cited By (59)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10789950B2 (en) | 2012-03-16 | 2020-09-29 | Nuance Communications, Inc. | User dedicated automatic speech recognition |
US20140136203A1 (en) * | 2012-11-14 | 2014-05-15 | Qualcomm Incorporated | Device and system having smart directional conferencing |
US9368117B2 (en) * | 2012-11-14 | 2016-06-14 | Qualcomm Incorporated | Device and system having smart directional conferencing |
US9412375B2 (en) | 2012-11-14 | 2016-08-09 | Qualcomm Incorporated | Methods and apparatuses for representing a sound field in a physical space |
US10746840B1 (en) * | 2013-04-04 | 2020-08-18 | Amazon Technologies, Inc. | Beam rejection in multi-beam microphone systems |
US11624800B1 (en) | 2013-04-04 | 2023-04-11 | Amazon Technologies, Inc. | Beam rejection in multi-beam microphone systems |
US11175372B1 (en) | 2013-04-04 | 2021-11-16 | Amazon Technologies, Inc. | Beam rejection in multi-beam microphone systems |
US10313796B2 (en) | 2013-05-23 | 2019-06-04 | Knowles Electronics, Llc | VAD detection microphone and method of operating the same |
US9712923B2 (en) | 2013-05-23 | 2017-07-18 | Knowles Electronics, Llc | VAD detection microphone and method of operating the same |
US9711166B2 (en) | 2013-05-23 | 2017-07-18 | Knowles Electronics, Llc | Decimation synchronization in a microphone |
US10020008B2 (en) | 2013-05-23 | 2018-07-10 | Knowles Electronics, Llc | Microphone and corresponding digital interface |
US9502028B2 (en) | 2013-10-18 | 2016-11-22 | Knowles Electronics, Llc | Acoustic activity detection apparatus and method |
US9830913B2 (en) | 2013-10-29 | 2017-11-28 | Knowles Electronics, Llc | VAD detection apparatus and method of operation the same |
US20210134276A1 (en) * | 2014-06-20 | 2021-05-06 | Amazon Technologies, Inc. | Keyword detection modeling using contextual information |
US10832662B2 (en) * | 2014-06-20 | 2020-11-10 | Amazon Technologies, Inc. | Keyword detection modeling using contextual information |
US9697828B1 (en) * | 2014-06-20 | 2017-07-04 | Amazon Technologies, Inc. | Keyword detection modeling using contextual and environmental information |
US11657804B2 (en) * | 2014-06-20 | 2023-05-23 | Amazon Technologies, Inc. | Wake word detection modeling |
US9830080B2 (en) | 2015-01-21 | 2017-11-28 | Knowles Electronics, Llc | Low power voice trigger for acoustic apparatus and method |
US10121472B2 (en) | 2015-02-13 | 2018-11-06 | Knowles Electronics, Llc | Audio buffer catch-up apparatus and method with two microphones |
US20180137861A1 (en) * | 2015-05-22 | 2018-05-17 | Sony Corporation | Information processing apparatus, information processing method, and program |
US10706844B2 (en) * | 2015-05-22 | 2020-07-07 | Sony Corporation | Information processing system and information processing method for speech recognition |
US9478234B1 (en) | 2015-07-13 | 2016-10-25 | Knowles Electronics, Llc | Microphone apparatus and method with catch-up buffer |
US9711144B2 (en) | 2015-07-13 | 2017-07-18 | Knowles Electronics, Llc | Microphone apparatus and method with catch-up buffer |
US20170083285A1 (en) * | 2015-09-21 | 2017-03-23 | Amazon Technologies, Inc. | Device selection for providing a response |
US11922095B2 (en) | 2015-09-21 | 2024-03-05 | Amazon Technologies, Inc. | Device selection for providing a response |
US9875081B2 (en) * | 2015-09-21 | 2018-01-23 | Amazon Technologies, Inc. | Device selection for providing a response |
US11237794B2 (en) | 2016-02-18 | 2022-02-01 | Sony Corporation | Information processing device and information processing method |
EP3520102A4 (en) * | 2016-09-30 | 2020-06-24 | Dolby Laboratories Licensing Corporation | Context aware hearing optimization engine |
US11501772B2 (en) | 2016-09-30 | 2022-11-15 | Dolby Laboratories Licensing Corporation | Context aware hearing optimization engine |
US20180166073A1 (en) * | 2016-12-13 | 2018-06-14 | Ford Global Technologies, Llc | Speech Recognition Without Interrupting The Playback Audio |
US11823673B2 (en) | 2017-01-20 | 2023-11-21 | Samsung Electronics Co., Ltd. | Voice input processing method and electronic device for supporting the same |
WO2018135803A1 (en) * | 2017-01-20 | 2018-07-26 | Samsung Electronics Co., Ltd. | Voice input processing method and electronic device for supporting the same |
US10832670B2 (en) | 2017-01-20 | 2020-11-10 | Samsung Electronics Co., Ltd. | Voice input processing method and electronic device for supporting the same |
US11302341B2 (en) * | 2017-01-26 | 2022-04-12 | Yutou Technology (Hangzhou) Co., Ltd. | Microphone array based pickup method and system |
US20180286392A1 (en) * | 2017-04-03 | 2018-10-04 | Motorola Mobility Llc | Multi mode voice assistant for the hearing disabled |
US10468022B2 (en) * | 2017-04-03 | 2019-11-05 | Motorola Mobility Llc | Multi mode voice assistant for the hearing disabled |
US12265746B2 (en) * | 2017-07-11 | 2025-04-01 | Roku, Inc. | Controlling visual indicators in an audio responsive electronic device, and capturing and providing audio using an API, by native and non-native computing devices and services |
US20220004349A1 (en) * | 2017-07-11 | 2022-01-06 | Roku, Inc. | Controlling visual indicators in an audio responsive electronic device, and capturing and providing audio using an api, by native and non-native computing devices and services |
US10304475B1 (en) * | 2017-08-14 | 2019-05-28 | Amazon Technologies, Inc. | Trigger word based beam selection |
US10482904B1 (en) | 2017-08-15 | 2019-11-19 | Amazon Technologies, Inc. | Context driven device arbitration |
US11133027B1 (en) | 2017-08-15 | 2021-09-28 | Amazon Technologies, Inc. | Context driven device arbitration |
US11875820B1 (en) | 2017-08-15 | 2024-01-16 | Amazon Technologies, Inc. | Context driven device arbitration |
US11804227B2 (en) | 2017-08-28 | 2023-10-31 | Roku, Inc. | Local and cloud speech recognition |
US11646025B2 (en) | 2017-08-28 | 2023-05-09 | Roku, Inc. | Media system with multiple digital assistants |
US11961521B2 (en) | 2017-08-28 | 2024-04-16 | Roku, Inc. | Media system with multiple digital assistants |
US10482878B2 (en) | 2017-11-29 | 2019-11-19 | Nuance Communications, Inc. | System and method for speech enhancement in multisource environments |
US10157611B1 (en) | 2017-11-29 | 2018-12-18 | Nuance Communications, Inc. | System and method for speech enhancement in multisource environments |
US11664026B2 (en) | 2018-02-13 | 2023-05-30 | Roku, Inc. | Trigger word detection with multiple digital assistants |
US11935537B2 (en) | 2018-02-13 | 2024-03-19 | Roku, Inc. | Trigger word detection with multiple digital assistants |
US11804220B2 (en) * | 2018-03-29 | 2023-10-31 | Panasonic Intellectual Property Management Co., Ltd. | Voice processing device, voice processing method and voice processing system |
US12118990B2 (en) * | 2018-03-29 | 2024-10-15 | Panasonic Intellectual Property Management Co., Ltd. | Voice processing device, voice processing method and voice processing system |
US20210043198A1 (en) * | 2018-03-29 | 2021-02-11 | Panasonic Intellectual Property Management Co., Ltd. | Voice processing device, voice processing method and voice processing system |
US20240005919A1 (en) * | 2018-03-29 | 2024-01-04 | Panasonic Intellectual Property Management Co., Ltd. | Voice processing device, voice processing method and voice processing system |
US11922951B2 (en) * | 2018-12-24 | 2024-03-05 | Google Llc | Targeted voice separation by speaker conditioned on spectrogram masking |
US20220122611A1 (en) * | 2018-12-24 | 2022-04-21 | Google Llc | Targeted voice separation by speaker conditioned on spectrogram masking |
US11217254B2 (en) * | 2018-12-24 | 2022-01-04 | Google Llc | Targeted voice separation by speaker conditioned on spectrogram masking |
US11367437B2 (en) * | 2019-05-30 | 2022-06-21 | Nuance Communications, Inc. | Multi-microphone speech dialog system for multiple spatial zones |
US12254891B2 (en) | 2019-10-10 | 2025-03-18 | Google Llc | Targeted voice separation by speaker for speech recognition |
US11321866B2 (en) * | 2020-01-02 | 2022-05-03 | Lg Electronics Inc. | Approach photographing device and method for controlling the same |
Also Published As
Publication number | Publication date |
---|---|
WO2013137900A1 (en) | 2013-09-19 |
JP2015513704A (en) | 2015-05-14 |
KR20140131956A (en) | 2014-11-14 |
CN104488025A (en) | 2015-04-01 |
EP2817801A1 (en) | 2014-12-31 |
KR101641448B1 (en) | 2016-07-20 |
EP2817801B1 (en) | 2017-02-22 |
US20180158461A1 (en) | 2018-06-07 |
US10789950B2 (en) | 2020-09-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10789950B2 (en) | User dedicated automatic speech recognition | |
EP2984763B1 (en) | System for automatic speech recognition and audio entertainment | |
US10529360B2 (en) | Speech enhancement method and apparatus for same | |
US9368105B1 (en) | Preventing false wake word detections with a voice-controlled device | |
US10318016B2 (en) | Hands free device with directional interface | |
EP3047481A1 (en) | Local and remote speech processing | |
US9916832B2 (en) | Using combined audio and vision-based cues for voice command-and-control | |
US11227588B2 (en) | System and method for feature based beam steering | |
AU2022201037B2 (en) | Providing audio information with a digital assistant | |
WO2024137112A1 (en) | Speaker-specific speech filtering for multiple users | |
KR102613040B1 (en) | Video communication method and robot for implementing thereof | |
US20240212669A1 (en) | Speech filter for speech processing | |
WO2024070080A1 (en) | Information processing device, information processing method, and program | |
KR20230006339A (en) | Apparatus and method for processing commands by recognizing driver's voice and lips |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: NUANCE COMMUNICATIONS, INC., MASSACHUSETTS Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:WOLFF, TOBIAS;BUCK, MARKUS;HAULICK, TIM;AND OTHERS;REEL/FRAME:033898/0876 Effective date: 20120316 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- AFTER EXAMINER'S ANSWER OR BOARD OF APPEALS DECISION |