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    ENHANCED MULTI-CHANNEL ACOUSTIC MODELS
    2.
    发明申请
    ENHANCED MULTI-CHANNEL ACOUSTIC MODELS 审中-公开

    公开(公告)号：US20190259409A1

    公开(公告)日：2019-08-22

    申请号：US16278830

    申请日：2019-02-19

    Applicant: Google LLC

    Inventor： Ehsan Variani ,  Kevin William Wilson ,  Ron J. Weiss ,  Tara N. Sainath ,  Arun Narayanan

    IPC: G10L25/30 ,  G10L21/028 ,  G10L19/008 ,  G10L15/20 ,  G10L15/16 ,  G10L21/0388

    Abstract: This specification describes computer-implemented methods and systems. One method includes receiving, by a neural network of a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal. The first raw audio signal and the second raw audio signal describe audio occurring at a same period of time. The method further includes generating, by a spatial filtering layer of the neural network, a spatial filtered output using the first data and the second data, and generating, by a spectral filtering layer of the neural network, a spectral filtered output using the spatial filtered output. Generating the spectral filtered output comprises processing frequency-domain data representing the spatial filtered output. The method still further includes processing, by one or more additional layers of the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.

    Processing audio waveforms
    4.
    发明授权
    Processing audio waveforms 有权

    公开(公告)号：US10930270B2

    公开(公告)日：2021-02-23

    申请号：US16541982

    申请日：2019-08-15

    Applicant: Google LLC

    Inventor： Tara N. Sainath ,  Ron J. Weiss ,  Andrew W. Senior ,  Kevin William Wilson

    IPC: G10L15/00 ,  G10L15/16 ,  G06N3/04 ,  G06N3/08 ,  G10L15/26 ,  G10L15/14

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing audio waveforms. In some implementations, a time-frequency feature representation is generated based on audio data. The time-frequency feature representation is input to an acoustic model comprising a trained artificial neural network. The trained artificial neural network comprising a frequency convolution layer, a memory layer, and one or more hidden layers. An output that is based on output of the trained artificial neural network is received. A transcription is provided, where the transcription is determined based on the output of the acoustic model.

    Multichannel raw-waveform neural networks
    5.
    发明授权
    Multichannel raw-waveform neural networks 有权

    公开(公告)号：US10339921B2

    公开(公告)日：2019-07-02

    申请号：US14987146

    申请日：2016-01-04

    Applicant: Google LLC

    Inventor： Tara N. Sainath ,  Ron J. Weiss ,  Kevin William Wilson

    IPC: G10L15/00 ,  G10L15/16 ,  G10L15/34 ,  G06N3/04 ,  G06N3/08 ,  G10L15/20 ,  G10L21/0208

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using neural networks. One of the methods includes receiving, by a neural network in a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal, the first raw audio signal and the second raw audio signal for the same period of time, generating, by a spatial filtering convolutional layer in the neural network, a spatial filtered output the first data and the second data, generating, by a spectral filtering convolutional layer in the neural network, a spectral filtered output using the spatial filtered output, and processing, by one or more additional layers in the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.

    ADAPTIVE AUDIO ENHANCEMENT FOR MULTICHANNEL SPEECH RECOGNITION
    6.
    发明申请
    ADAPTIVE AUDIO ENHANCEMENT FOR MULTICHANNEL SPEECH RECOGNITION 审中-公开

    公开(公告)号：US20180197534A1

    公开(公告)日：2018-07-12

    申请号：US15848829

    申请日：2017-12-20

    Applicant: Google LLC

    Inventor： Bo Li ,  Ron J. Weiss ,  Michiel A.U. Bacchiani ,  Tara N. Sainath ,  Kevin William Wilson

    IPC: G10L15/16 ,  G10L21/0224 ,  G10L15/26 ,  G10L21/0216

    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.

    AUDIO-VISUAL SPEECH SEPARATION
    8.
    发明申请
    AUDIO-VISUAL SPEECH SEPARATION 有权

    公开(公告)号：US20230122905A1

    公开(公告)日：2023-04-20

    申请号：US17951002

    申请日：2022-09-22

    Applicant: Google LLC

    Inventor： Inbar Mosseri ,  Michael Rubinstein ,  Ariel Ephrat ,  William Freeman ,  Oran Lang ,  Kevin William Wilson ,  Tali Dekel ,  Avinatan Hassidim

    IPC: G10L21/10 ,  G10L15/16 ,  G10L21/18 ,  G06V20/40 ,  G06V40/16 ,  G10L15/25 ,  G06F18/214

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for audio-visual speech separation. A method includes: obtaining, for each frame in a stream of frames from a video in which faces of one or more speakers have been detected, a respective per-frame face embedding of the face of each speaker; processing, for each speaker, the per-frame face embeddings of the face of the speaker to generate visual features for the face of the speaker; obtaining a spectrogram of an audio soundtrack for the video; processing the spectrogram to generate an audio embedding for the audio soundtrack; combining the visual features for the one or more speakers and the audio embedding for the audio soundtrack to generate an audio-visual embedding for the video; determining a respective spectrogram mask for each of the one or more speakers; and determining a respective isolated speech spectrogram for each speaker.

    Adaptive audio enhancement for multichannel speech recognition
    9.
    发明授权
    Adaptive audio enhancement for multichannel speech recognition 有权

    公开(公告)号：US11257485B2

    公开(公告)日：2022-02-22

    申请号：US16708930

    申请日：2019-12-10

    Applicant: Google LLC

    Inventor： Bo Li ,  Ron J. Weiss ,  Michiel A. U. Bacchiani ,  Tara N. Sainath ,  Kevin William Wilson

    IPC: G10L15/00 ,  G10L15/16 ,  G10L15/20 ,  G10L21/0224 ,  G10L15/26 ,  G10L21/0216

    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.

    ENHANCED MULTI-CHANNEL ACOUSTIC MODELS
    10.
    发明申请
    ENHANCED MULTI-CHANNEL ACOUSTIC MODELS 有权

    公开(公告)号：US20210295859A1

    公开(公告)日：2021-09-23

    申请号：US17303822

    申请日：2021-06-08

    Applicant: Google LLC

    Inventor： Ehsan Variani ,  Kevin William Wilson ,  Ron J. Weiss ,  Tara N. Sainath ,  Arun Narayanan

    IPC: G10L25/30 ,  G10L21/028 ,  G10L21/0388 ,  G10L15/16 ,  G10L19/008 ,  G10L15/20

    Abstract: This specification describes computer-implemented methods and systems. One method includes receiving, by a neural network of a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal. The first raw audio signal and the second raw audio signal describe audio occurring at a same period of time. The method further includes generating, by a spatial filtering layer of the neural network, a spatial filtered output using the first data and the second data, and generating, by a spectral filtering layer of the neural network, a spectral filtered output using the spatial filtered output. Generating the spectral filtered output comprises processing frequency-domain data representing the spatial filtered output. The method still further includes processing, by one or more additional layers of the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.

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