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    Complex evolution recurrent neural networks
    14.
    发明授权
    Complex evolution recurrent neural networks 有权

    公开(公告)号：US11069344B2

    公开(公告)日：2021-07-20

    申请号：US16710005

    申请日：2019-12-11

    Applicant: Google LLC

    Inventor： Izhak Shafran ,  Thomas E. Bagby ,  Russell John Wyatt Skerry-Ryan

    IPC: G10L15/16 ,  G10L19/02 ,  G10L15/02 ,  G10H1/00 ,  G06N3/02 ,  G10L17/18 ,  G10L25/30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex evolution recurrent neural networks. In some implementations, audio data indicating acoustic characteristics of an utterance is received. A first vector sequence comprising audio features determined from the audio data is generated. A second vector sequence is generated, as output of a first recurrent neural network in response to receiving the first vector sequence as input, where the first recurrent neural network has a transition matrix that implements a cascade of linear operators comprising (i) first linear operators that are complex-valued and unitary, and (ii) one or more second linear operators that are non-unitary. An output vector sequence of a second recurrent neural network is generated. A transcription for the utterance is generated based on the output vector sequence generated by the second recurrent neural network. The transcription for the utterance is provided.

    Adaptive multichannel dereverberation for automatic speech recognition
    15.
    发明授权
    Adaptive multichannel dereverberation for automatic speech recognition 有权

    公开(公告)号：US10762914B2

    公开(公告)日：2020-09-01

    申请号：US16032996

    申请日：2018-07-11

    Applicant: Google LLC

    Inventor： Joseph Caroselli ,  Arun Narayanan ,  Izhak Shafran ,  Richard Rose

    IPC: G10L21/00 ,  G10L21/0208 ,  G10L15/20 ,  G10L15/22 ,  G10L15/065 ,  G06F3/16 ,  G06N3/02 ,  G06F17/14 ,  G10L15/06 ,  G10L21/0216

    Abstract: Utilizing an adaptive multichannel technique to mitigate reverberation present in received audio signals, prior to providing corresponding audio data to one or more additional component(s), such as automatic speech recognition (ASR) components. Implementations disclosed herein are “adaptive”, in that they utilize a filter, in the reverberation mitigation, that is online, causal and varies depending on characteristics of the input. Implementations disclosed herein are “multichannel”, in that a corresponding audio signal is received from each of multiple audio transducers (also referred to herein as “microphones”) of a client device, and the multiple audio signals (e.g., frequency domain representations thereof) are utilized in updating of the filter—and dereverberation occurs for audio data corresponding to each of the audio signals (e.g., frequency domain representations thereof) prior to the audio data being provided to ASR component(s) and/or other component(s).

    ADAPTIVE MULTICHANNEL DEREVERBERATION FOR AUTOMATIC SPEECH RECOGNITION
    17.
    发明申请
    ADAPTIVE MULTICHANNEL DEREVERBERATION FOR AUTOMATIC SPEECH RECOGNITION 审中-公开

    公开(公告)号：US20190272840A1

    公开(公告)日：2019-09-05

    申请号：US16032996

    申请日：2018-07-11

    Applicant: Google LLC

    Inventor： Joseph Caroselli ,  Arun Narayanan ,  Izhak Shafran ,  Richard Rose

    IPC: G10L21/0208 ,  G10L15/20 ,  G10L15/22 ,  G10L15/065 ,  G10L15/06 ,  G06F3/16 ,  G06N3/02 ,  G06F17/14

    Abstract: Utilizing an adaptive multichannel technique to mitigate reverberation present in received audio signals, prior to providing corresponding audio data to one or more additional component(s), such as automatic speech recognition (ASR) components. Implementations disclosed herein are “adaptive”, in that they utilize a filter, in the reverberation mitigation, that is online, causal and varies depending on characteristics of the input. Implementations disclosed herein are “multichannel”, in that a corresponding audio signal is received from each of multiple audio transducers (also referred to herein as “microphones”) of a client device, and the multiple audio signals (e.g., frequency domain representations thereof) are utilized in updating of the filter—and dereverberation occurs for audio data corresponding to each of the audio signals (e.g., frequency domain representations thereof) prior to the audio data being provided to ASR component(s) and/or other component(s).

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