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1.发明授权公开(公告)号：US12033637B2
公开(公告)日：2024-07-09
申请号：US17337804
申请日：2021-06-03
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Krishna Sapkota , Behshad Behzadi , Julia Proskurnia , Jacopo Sannazzaro Natta , Justin Lu , Magali Boizot-Roche , Márius {hacek over (S)}ajgalík , Nicolo D'Ercole , Zaheed Sabur , Luv Kothari
CPC classification number: G10L15/26 , G10L15/22 , G10L2015/223
Abstract: Implementations described herein relate to an application and/or automated assistant that can identify arrangement operations to perform for arranging text during speech-to-text operations—without a user having to expressly identify the arrangement operations. In some instances, a user that is dictating a document (e.g., an email, a text message, etc.) can provide a spoken utterance to an application in order to incorporate textual content. However, in some of these instances, certain corresponding arrangements are needed for the textual content in the document. The textual content that is derived from the spoken utterance can be arranged by the application based on an intent, vocalization features, and/or contextual features associated with the spoken utterance and/or a type of the application associated with the document, without the user expressly identifying the corresponding arrangements. In this way, the application can infer content arrangement operations from a spoken utterance that only specifies the textual content.
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公开(公告)号：US11557293B2
公开(公告)日：2023-01-17
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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3.发明申请公开(公告)号：US20220366911A1
公开(公告)日：2022-11-17
申请号：US17337804
申请日：2021-06-03
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Krishna Sapkota , Behshad Behzadi , Julia Proskurnia , Jacopo Sannazzaro Natta , Justin Lu , Magali Boizot-Roche , Márius Sajgalík , Nicolo D'Ercole , Zaheed Sabur , Luv Kothari
Abstract: Implementations described herein relate to an application and/or automated assistant that can identify arrangement operations to perform for arranging text during speech-to-text operations—without a user having to expressly identify the arrangement operations. In some instances, a user that is dictating a document (e.g., an email, a text message, etc.) can provide a spoken utterance to an application in order to incorporate textual content. However, in some of these instances, certain corresponding arrangements are needed for the textual content in the document. The textual content that is derived from the spoken utterance can be arranged by the application based on an intent, vocalization features, and/or contextual features associated with the spoken utterance and/or a type of the application associated with the document, without the user expressly identifying the corresponding arrangements. In this way, the application can infer content arrangement operations from a spoken utterance that only specifies the textual content.
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公开(公告)号：US20230061929A1
公开(公告)日：2023-03-02
申请号：US17532315
申请日：2021-11-22
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Antonio Gaetani , Bastiaan Van Eeckhoudt , Daniel Valcarce , Michael Golikov , Justin Lu , Ondrej Skopek , Nicolo D'Ercole , Zaheed Sabur , Behshad Behzadi , Luv Kothari
IPC: G10L17/22
Abstract: Implementations described herein relate to configuring a dynamic warm word button, that is associated with a client device, with particular assistant commands based on detected occurrences of warm word activation events at the client device. In response to detecting an occurrence of a given warm word activation event at the client device, implementations can determine whether user verification is required for a user that actuated the warm word button. Further, in response to determining that the user verification is required for the user that actuated the warm word button, the user verification can be performed. Moreover, in response to determining that the user that actuated the warm word button has been verified, implementations can cause an automated assistant to perform the particular assistant command associated with the warm word activation event. Audio-based and/or non-audio-based techniques can be utilized to perform the user verification.
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Patent Agency Ranking
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：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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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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9.发明公开公开(公告)号：US20240321277A1
公开(公告)日：2024-09-26
申请号：US18677629
申请日：2024-05-29
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Krishna Sapkota , Behshad Behzadi , Julia Proskurnia , Jacopo Sannazzaro Natta , Justin Lu , Magali Boizot-Roche , Marius Sajgalik , Nicolo D'Ercole , Zaheed Sabur , Luv Kothari
CPC classification number: G10L15/26 , G10L15/22 , G10L2015/223
Abstract: Implementations described herein relate to an application and/or automated assistant that can identify arrangement operations to perform for arranging text during speech-to-text operations—without a user having to expressly identify the arrangement operations. In some instances, a user that is dictating a document (e.g., an email, a text message, etc.) can provide a spoken utterance to an application in order to incorporate textual content. However, in some of these instances, certain corresponding arrangements are needed for the textual content in the document. The textual content that is derived from the spoken utterance can be arranged by the application based on an intent, vocalization features, and/or contextual features associated with the spoken utterance and/or a type of the application associated with the document, without the user expressly identifying the corresponding arrangements. In this way, the application can infer content arrangement operations from a spoken utterance that only specifies the textual content.
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