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公开(公告)号：US20250157470A1
公开(公告)日：2025-05-15
申请号：US19025587
申请日：2025-01-16
Applicant: GOOGLE LLC
Inventor： Andrea Terwisscha van Scheltinga , Nicolo D'Ercole , Zaheed Sabur , Bibo Xu , Megan Knight , Alvin Abdagic , Jan Lamecki , Bo Zhang
Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.
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公开(公告)号：US12243526B2
公开(公告)日：2025-03-04
申请号：US18238898
申请日：2023-08-28
Applicant: GOOGLE LLC
Inventor： Andrea Terwisscha van Scheltinga , Nicolo D'Ercole , Zaheed Sabur , Bibo Xu , Megan Knight , Alvin Abdagic , Jan Lamecki , Bo Zhang
Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.
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公开(公告)号：US12057119B2
公开(公告)日：2024-08-06
申请号：US18092883
申请日：2023-01-03
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Matthew Sharifi , Ondrej Skopek , Justin Lu , Daniel Valcarce , Kevin Kilgour , Mohamad Hassan Rom , Nicolo D'Ercole , Michael Golikov
CPC classification number: G10L15/22 , G10L15/05 , G10L15/1815 , G10L25/78 , G10L2015/088 , G10L2015/223
Abstract: Some implementations process, using warm word model(s), a stream of audio data to determine a portion of the audio data that corresponds to particular word(s) and/or phrase(s) (e.g., a warm word) associated with an assistant command, process, using an automatic speech recognition (ASR) model, a preamble portion of the audio data (e.g., that precedes the warm word) and/or a postamble portion of the audio data (e.g., that follows the warm word) to generate ASR output, and determine, based on processing the ASR output, whether a user intended the assistant command to be performed. Additional or alternative implementations can process the stream of audio data using a speaker identification (SID) model to determine whether the audio data is sufficient to identify the user that provided a spoken utterance captured in the stream of audio data, and determine if that user is authorized to cause performance of the assistant command.
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公开(公告)号：US11830491B2
公开(公告)日：2023-11-28
申请号：US17552887
申请日：2021-12-16
Applicant: Google LLC
Inventor： Andrea Terwisscha van Scheltinga , Nicolo D'Ercole , Zaheed Sabur , Bibo Xu , Megan Knight , Alvin Abdagic , Jan Lamecki , Bo Zhang
CPC classification number: G10L15/22 , G06F3/167 , G10L15/083 , G10L2015/223
Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.
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公开(公告)号：US11741961B2
公开(公告)日：2023-08-29
申请号：US17552887
申请日：2021-12-16
Applicant: Google LLC
Inventor： Andrea Terwisscha van Scheltinga , Nicolo D'Ercole , Zaheed Sabur , Bibo Xu , Megan Knight , Alvin Abdagic , Jan Lamecki , Bo Zhang
CPC classification number: G10L15/22 , G06F3/167 , G10L15/083 , G10L2015/223
Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.
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Patent Agency Ranking
公开(公告)号：US20230143177A1
公开(公告)日：2023-05-11
申请号：US18092883
申请日：2023-01-03
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Matthew Sharifi , Ondrej Skopek , Justin Lu , Daniel Valcarce , Kevin Kilgour , Mohamad Hassan Rom , Nicolo D'Ercole , Michael Golikov
CPC classification number: G10L15/22 , G10L15/05 , G10L15/1815 , G10L25/78 , G10L2015/088
Abstract: Some implementations process, using warm word model(s), a stream of audio data to determine a portion of the audio data that corresponds to particular word(s) and/or phrase(s) (e.g., a warm word) associated with an assistant command, process, using an automatic speech recognition (ASR) model, a preamble portion of the audio data (e.g., that precedes the warm word) and/or a postamble portion of the audio data (e.g., that follows the warm word) to generate ASR output, and determine, based on processing the ASR output, whether a user intended the assistant command to be performed. Additional or alternative implementations can process the stream of audio data using a speaker identification (SID) model to determine whether the audio data is sufficient to identify the user that provided a spoken utterance captured in the stream of audio data, and determine if that user is authorized to cause performance of the assistant command.
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公开(公告)号：US20220366903A1
公开(公告)日：2022-11-17
申请号：US17321994
申请日：2021-05-17
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Matthew Sharifi , Ondrej Skopek , Justin Lu , Daniel Valcarce , Kevin Kilgour , Mohamad Hassan Rom , Nicolo D'Ercole , Michael Golikov
Abstract: Some implementations process, using warm word model(s), a stream of audio data to determine a portion of the audio data that corresponds to particular word(s) and/or phrase(s) (e.g., a warm word) associated with an assistant command, process, using an automatic speech recognition (ASR) model, a preamble portion of the audio data (e.g., that precedes the warm word) and/or a postamble portion of the audio data (e.g., that follows the warm word) to generate ASR output, and determine, based on processing the ASR output, whether a user intended the assistant command to be performed. Additional or alternative implementations can process the stream of audio data using a speaker identification (SID) model to determine whether the audio data is sufficient to identify the user that provided a spoken utterance captured in the stream of audio data, and determine if that user is authorized to cause performance of the assistant command.
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18.发明授权公开(公告)号：US12266359B2
公开(公告)日：2025-04-01
申请号：US17902560
申请日：2022-09-02
Applicant: GOOGLE LLC
Inventor： Nicolo D'Ercole , Shumin Zhai , Swante Scholz , Mehek Sharma , Adrien Olczak , Akshay Kannan , Alvin Abdagic , Julia Proskurnia , Viesturs Zarins
IPC: G10L15/22 , G06F16/683 , G10L15/08
Abstract: Implementations described herein generally relate to generating a modification selectable element that may be provided for presentation to a user in a smart dictation session with an automated assistant. The modification selectable element may, when selected, cause a transcription, that includes textual data generated based on processing audio data that captures a spoken utterance and that is automatically arranged, to be modified. The transcription may be automatically arranged to include spacing, punctuation, capitalization, indentations, paragraph breaks, and/or other arrangement operations that are not specified by the user in providing the spoken utterance. Accordingly, a subsequent selection of the modification selectable element may cause these automatic arrangement operation(s), and/or the textual data locationally proximate to these automatic arrangement operation(s), to be modified. Implementations described herein also relate to generating the transcription and/or the modification selectable element on behalf of a third-party software application.
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公开(公告)号：US20240420699A1
公开(公告)日：2024-12-19
申请号：US18815252
申请日：2024-08-26
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Alvin Abdagic , Behshad Behzadi , Jacopo Sannazzaro Natta , Julia Proskurnia , Krzysztof Andrzej Goj , Srikanth Pandiri , Viesturs Zarins , Nicolo D'Ercole , Zaheed Sabur , Luv Kothari
IPC: G10L15/26 , G06F3/0488 , G06N20/00 , G10L15/18 , G10L15/22
Abstract: Systems and methods described herein relate to determining whether to incorporate recognized text, that corresponds to a spoken utterance of a user of a client device, into a transcription displayed at the client device, or to cause an assistant command, that is associated with the transcription and that is based on the recognized text, to be performed by an automated assistant implemented by the client device. The spoken utterance is received during a dictation session between the user and the automated assistant. Implementations can process, using automatic speech recognition model(s), audio data that captures the spoken utterance to generate the recognized text. Further, implementations can determine whether to incorporate the recognized text into the transcription or cause the assistant command to be performed based on touch input being directed to the transcription, a state of the transcription, and/or audio-based characteristic(s) of the spoken utterance.
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公开(公告)号：US20240347060A1
公开(公告)日：2024-10-17
申请号：US18750663
申请日：2024-06-21
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Matthew Sharifi , Ondrej Skopek , Justin Lu , Daniel Valcarce , Kevin Kilgour , Mohamad Hassan Rom , Nicolo D'Ercole , Michael Golikov
CPC classification number: G10L15/22 , G10L15/05 , G10L15/1815 , G10L25/78 , G10L2015/088 , G10L2015/223
Abstract: Some implementations process, using warm word model(s), a stream of audio data to determine a portion of the audio data that corresponds to particular word(s) and/or phrase(s) (e.g., a warm word) associated with an assistant command, process, using an automatic speech recognition (ASR) model, a preamble portion of the audio data (e.g., that precedes the warm word) and/or a postamble portion of the audio data (e.g., that follows the warm word) to generate ASR output, and determine, based on processing the ASR output, whether a user intended the assistant command to be performed. Additional or alternative implementations can process the stream of audio data using a speaker identification (SID) model to determine whether the audio data is sufficient to identify the user that provided a spoken utterance captured in the stream of audio data, and determine if that user is authorized to cause performance of the assistant command.
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