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公开(公告)号:US20240013772A1
公开(公告)日:2024-01-11
申请号:US18471627
申请日:2023-09-21
Applicant: Google LLC
Inventor: Nolan Andrew Miller , Ramin Mehran
Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process. The method also includes determining whether to accept or reject the multi-channel audio for processing by the particular application based on the first score generated as output from the application-specific classifier.
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公开(公告)号:US12154547B2
公开(公告)日:2024-11-26
申请号:US18471627
申请日:2023-09-21
Applicant: Google LLC
Inventor: Nolan Andrew Miller , Ramin Mehran
Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process. The method also includes determining whether to accept or reject the multi-channel audio for processing by the particular application based on the first score generated as output from the application-specific classifier.
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公开(公告)号:US11380302B2
公开(公告)日:2022-07-05
申请号:US17077679
申请日:2020-10-22
Applicant: Google LLC
Inventor: Nolan Andrew Miller , Ramin Mehran
Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process. The method also includes determining whether to accept or reject the multi-channel audio for processing by the particular application based on the first score generated as output from the application-specific classifier.
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公开(公告)号:US11790888B2
公开(公告)日:2023-10-17
申请号:US17806198
申请日:2022-06-09
Applicant: Google LLC
Inventor: Nolan Andrew Miller , Ramin Mehran
Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process. The method also includes determining whether to accept or reject the multi-channel audio for processing by the particular application based on the first score generated as output from the application-specific classifier.
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公开(公告)号:US20220310060A1
公开(公告)日:2022-09-29
申请号:US17806198
申请日:2022-06-09
Applicant: Google LLC
Inventor: Nolan Andrew Miller , Ramin Mehran
Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process. The method also includes determining whether to accept or reject the multi-channel audio for processing by the particular application based on the first score generated as output from the application-specific classifier.
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公开(公告)号:US20220130375A1
公开(公告)日:2022-04-28
申请号:US17077679
申请日:2020-10-22
Applicant: Google LLC
Inventor: Nolan Andrew Miller , Ramin Mehran
Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process. The method also includes determining whether to accept or reject the multi-channel audio for processing by the particular application based on the first score generated as output from the application-specific classifier.
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