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公开(公告)号：US20200258500A1
公开(公告)日：2020-08-13
申请号：US16863432
申请日：2020-04-30
Applicant: Google LLC
Inventor： Georg Heigold , Erik McDermott , Vincent O. Vanhoucke , Andrew W. Senior , Michiel A.U. Bacchiani
IPC: G10L15/06 , G10L15/16 , G10L15/183 , G06N3/04
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
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公开(公告)号：US20190362719A1
公开(公告)日：2019-11-28
申请号：US16418415
申请日：2019-05-21
Applicant: Google LLC
Inventor： Alexander H. Gruenstein , Taral Pradeep Joglekar , Vijayaditya Peddinti , Michiel A.U. Bacchiani
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for suppressing hotwords are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to playback of an utterance. The actions further include providing the audio data as an input to a model (i) that is configured to determine whether a given audio data sample includes an audio watermark and (ii) that was trained using watermarked audio data samples that each include an audio watermark sample and non-watermarked audio data samples that do not each include an audio watermark sample. The actions further include receiving, from the model, data indicating whether the audio data includes the audio watermark. The actions further include, based on the data indicating whether the audio data includes the audio watermark, determining to continue or cease processing of the audio data.
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公开(公告)号：US20180261204A1
公开(公告)日：2018-09-13
申请号：US15910720
申请日：2018-03-02
Applicant: Google LLC.
Inventor： Georg Heigold , Erik McDermott , Vincent O. Vanhoucke , Andrew W. Senior , Michiel A.U. Bacchiani
IPC: G10L15/06 , G10L15/183 , G10L15/16
CPC classification number: G10L15/063 , G06N3/0454 , G10L15/16 , G10L15/183
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
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Patent Agency Ranking
公开(公告)号：US20180174575A1
公开(公告)日：2018-06-21
申请号：US15386979
申请日：2016-12-21
Applicant: Google LLC
Inventor： Samuel Bengio , Mirko Visontai , Christopher Walter George Thornton , Michiel A.U. Bacchiani , Tara N. Sainath , Ehsan Variani , Izhak Shafran
CPC classification number: G10L15/16 , G10H1/00 , G10H2210/036 , G10H2210/046 , G10H2250/235 , G10H2250/311 , G10L15/02 , G10L17/18
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.
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公开(公告)号：US20220148582A1
公开(公告)日：2022-05-12
申请号：US17649058
申请日：2022-01-26
Applicant: Google LLC
Inventor： Bo Li , Ron Weiss , Michiel A.U. Bacchiani , Tara N. Sainath , Kevin William Wilson
IPC: G10L15/16 , G10L15/20 , G10L21/0224
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural network adaptive beamforming for multichannel speech recognition are disclosed. In one aspect, a method includes the actions of receiving a first channel of audio data corresponding to an utterance and a second channel of audio data corresponding to the utterance. The actions further include generating a first set of filter parameters for a first filter based on the first channel of audio data and the second channel of audio data and a second set of filter parameters for a second filter based on the first channel of audio data and the second channel of audio data. The actions further include generating a single combined channel of audio data. The actions further include inputting the audio data to a neural network. The actions further include providing a transcription for the utterance.
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公开(公告)号：US20220108686A1
公开(公告)日：2022-04-07
申请号：US17644362
申请日：2021-12-15
Applicant: Google LLC
Inventor： Georg Heigold , Erik McDermott , Vincent O. VanHoucke , Andrew W. Senior , Michiel A.U. Bacchiani
IPC: G10L15/06 , G10L15/16 , G10L15/183 , G06N3/04
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
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公开(公告)号：US20190333507A1
公开(公告)日：2019-10-31
申请号：US16412677
申请日：2019-05-15
Applicant: Google LLC
Inventor： Chanwoo Kim , Rajeev Conrad Nongpiur , Michiel A.U. Bacchiani
Abstract: Systems and methods are described for improving endpoint detection of a voice query submitted by a user. In some implementations, a synchronized video data and audio data is received. A sequence of frames of the video data that includes images corresponding to lip movement on a face is determined. The audio data is endpointed based on first audio data that corresponds to a first frame of the sequence of frames and second audio data that corresponds to a last frame of the sequence of frames. A transcription of the endpointed audio data is generated by an automated speech recognizer. The generated transcription is then provided for output.
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公开(公告)号：US20190115013A1
公开(公告)日：2019-04-18
申请号：US16171629
申请日：2018-10-26
Applicant: Google LLC
Inventor： Samuel Bengio , Mirko Visontai , Christopher Walter George Thornton , Michiel A.U. Bacchiani , Tara N. Sainath , Ehsan Variani , Izhak Shafran
CPC classification number: G10L15/16 , G10H1/00 , G10H2210/036 , G10H2210/046 , G10H2250/235 , G10H2250/311 , G10L15/02 , G10L17/18 , G10L19/0212
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.
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