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公开(公告)号:US10586569B2
公开(公告)日:2020-03-10
申请号:US15954105
申请日:2018-04-16
Applicant: Google LLC
Inventor: Dimitri Kanevsky , Golan Pundak
IPC: G06F17/00 , G11B20/10 , G06F3/16 , G10L17/00 , G10L21/0364 , H04M3/56 , G10L25/51 , G10L21/02 , G10L21/0208 , G10L21/028 , G10L25/84
Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for identifying that a first audio stream includes first, second, and third sources of audio. A computing system identifies that a second audio stream includes the first, second, and third sources of audio. The computing system determines that the first and second sources of audio are part of a first conversation. The computing system generates a third audio stream that combines the first source of audio from the first audio stream, the first source of audio from the second audio stream, the second source of audio from the first audio stream, and the second source of audio from the second audio stream, and diminishes the third source of audio from the first audio stream, and the third source of audio from the second audio stream.
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公开(公告)号:US20180233173A1
公开(公告)日:2018-08-16
申请号:US15954105
申请日:2018-04-16
Applicant: Google LLC
Inventor: Dimitri Kanevsky , Golan Pundak
CPC classification number: G11B20/10527 , G06F3/16 , G06F3/165 , G10L17/00 , G10L21/0202 , G10L21/0208 , G10L21/028 , G10L21/0364 , G10L25/51 , G10L25/84 , G11B2020/10546 , H04M3/56 , H04M3/568
Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for identifying that a first audio stream includes first, second, and third sources of audio. A computing system identifies that a second audio stream includes the first, second, and third sources of audio. The computing system determines that the first and second sources of audio are part of a first conversation. The computing system generates a third audio stream that combines the first source of audio from the first audio stream, the first source of audio from the second audio stream, the second source of audio from the first audio stream, and the second source of audio from the second audio stream, and diminishes the third source of audio from the first audio stream, and the third source of audio from the second audio stream.
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公开(公告)号:US12051443B2
公开(公告)日:2024-07-30
申请号:US17891295
申请日:2022-08-19
Applicant: Google LLC
Inventor: Dimitri Kanevsky , Golan Pundak
IPC: G11B20/10 , G06F3/16 , G10L17/00 , G10L21/0208 , G10L21/028 , G10L21/0364 , G10L25/51 , G10L25/84 , H04M3/56
CPC classification number: G11B20/10527 , G06F3/16 , G06F3/165 , G10L17/00 , G10L21/0364 , G10L25/51 , H04M3/56 , H04M3/568 , G10L21/0208 , G10L21/028 , G10L25/84 , G11B2020/10546
Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for identifying that a first audio stream includes first, second, and third sources of audio. A computing system identifies that a second audio stream includes the first, second, and third sources of audio. The computing system determines that the first and second sources of audio are part of a first conversation. The computing system generates a third audio stream that combines the first source of audio from the first audio stream, the first source of audio from the second audio stream, the second source of audio from the first audio stream, and the second source of audio from the second audio stream, and diminishes the third source of audio from the first audio stream, and the third source of audio from the second audio stream.
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24.
公开(公告)号:US20230419964A1
公开(公告)日:2023-12-28
申请号:US18462787
申请日:2023-09-07
Applicant: GOOGLE LLC
Inventor: Rafael Goldfarb , Or Guz , Lior Alon , Assaf Hurwitz Michaely , Golan Pundak , Shmuel Leibtag , Tomer Amiaz , Dan Rasin , Asaf Aharoni
CPC classification number: G10L15/22 , G10L15/063 , G10L2015/0635
Abstract: Implementations are directed to causing a voice bot to utilize a plurality of ML layers in resolving unique personal identifier(s) for a human while the voice bot is engaged in a corresponding conversation with the human. The unique personal identifier(s) can include a unique sequence of alphanumeric characters that is personal to the human. In some implementations, ASR speech hypothes(es) corresponding to spoken utterance(s) that include the unique personal identifier(s) can be processed to generate candidate unique personal identifier(s), given alphanumeric character(s) of the candidate unique personal identifier(s) can be selected, and the voice bot can prompt the human with clarification request(s) to clarify the given alphanumeric character(s) until it is predicted to correspond to the an actual unique personal identifier(s) for the human(s). The unique personal identifier(s) can then be utilized in performance of further action(s) by the voice bot and/or other systems.
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25.
公开(公告)号:US11790906B2
公开(公告)日:2023-10-17
申请号:US17157207
申请日:2021-01-25
Applicant: GOOGLE LLC
Inventor: Rafael Goldfarb , Or Guz , Lior Alon , Assaf Hurwitz Michaely , Golan Pundak , Shmuel Leibtag , Tomer Amiaz , Dan Rasin , Asaf Aharoni
CPC classification number: G10L15/22 , G10L15/063 , G10L2015/0635
Abstract: Implementations are directed to causing a voice bot to utilize a plurality of ML layers in resolving unique personal identifier(s) for a human while the voice bot is engaged in a corresponding conversation with the human. The unique personal identifier(s) can include a unique sequence of alphanumeric characters that is personal to the human. In some implementations, ASR speech hypothes(es) corresponding to spoken utterance(s) that include the unique personal identifier(s) can be processed to generate candidate unique personal identifier(s), given alphanumeric character(s) of the candidate unique personal identifier(s) can be selected, and the voice bot can prompt the human with clarification request(s) to clarify the given alphanumeric character(s) until it is predicted to correspond to the an actual unique personal identifier(s) for the human(s). The unique personal identifier(s) can then be utilized in performance of further action(s) by the voice bot and/or other systems.
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公开(公告)号:US20220392489A1
公开(公告)日:2022-12-08
申请号:US17891295
申请日:2022-08-19
Applicant: Google LLC
Inventor: Dimitri Kanevsky , Golan Pundak
Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for identifying that a first audio stream includes first, second, and third sources of audio. A computing system identifies that a second audio stream includes the first, second, and third sources of audio. The computing system determines that the first and second sources of audio are part of a first conversation. The computing system generates a third audio stream that combines the first source of audio from the first audio stream, the first source of audio from the second audio stream, the second source of audio from the first audio stream, and the second source of audio from the second audio stream, and diminishes the third source of audio from the first audio stream, and the third source of audio from the second audio stream.
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公开(公告)号:US11423883B2
公开(公告)日:2022-08-23
申请号:US16836445
申请日:2020-03-31
Applicant: Google LLC
Inventor: Rohit Prakash Prabhavalkar , Golan Pundak , Tara N. Sainath
Abstract: A method includes receiving audio data encoding an utterance and obtaining a set of bias phrases corresponding to a context of the utterance. Each bias phrase includes one or more words. The method also includes processing, using a speech recognition model, acoustic features derived from the audio to generate an output from the speech recognition model. The speech recognition model includes a first encoder configured to receive the acoustic features, a first attention module, a bias encoder configured to receive data indicating the obtained set of bias phrases, a bias encoder, and a decoder configured to determine likelihoods of sequences of speech elements based on output of the first attention module and output of the bias attention module. The method also includes determining a transcript for the utterance based on the likelihoods of sequences of speech elements.
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公开(公告)号:US11217231B2
公开(公告)日:2022-01-04
申请号:US16863766
申请日:2020-04-30
Applicant: Google LLC
Inventor: Rohit Prakash Prabhavalkar , Golan Pundak , Tara N. Sainath , Antoine Jean Bruguier
IPC: G10L15/187 , G06N20/10 , G10L19/04 , G10L15/08
Abstract: A method of biasing speech recognition includes receiving audio data encoding an utterance and obtaining a set of one or more biasing phrases corresponding to a context of the utterance. Each biasing phrase in the set of one or more biasing phrases includes one or more words. The method also includes processing, using a speech recognition model, acoustic features derived from the audio data and grapheme and phoneme data derived from the set of one or more biasing phrases to generate an output of the speech recognition model. The method also includes determining a transcription for the utterance based on the output of the speech recognition model.
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公开(公告)号:US20210193180A1
公开(公告)日:2021-06-24
申请号:US17194827
申请日:2021-03-08
Applicant: Google LLC
Inventor: Dimitri Kanevsky , Golan Pundak
Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for identifying that a first audio stream includes first, second, and third sources of audio. A computing system identifies that a second audio stream includes the first, second, and third sources of audio. The computing system determines that the first and second sources of audio are part of a first conversation. The computing system generates a third audio stream that combines the first source of audio from the first audio stream, the first source of audio from the second audio stream, the second source of audio from the first audio stream, and the second source of audio from the second audio stream, and diminishes the third source of audio from the first audio stream, and the third source of audio from the second audio stream.
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