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    Wakeword and acoustic event detection
    1.
    发明授权
    Wakeword and acoustic event detection 有权

    公开(公告)号：US11043218B1

    公开(公告)日：2021-06-22

    申请号：US16452964

    申请日：2019-06-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Ming Sun ,  Thibaud Senechal ,  Yixin Gao ,  Anish N. Shah ,  Spyridon Matsoukas ,  Chao Wang ,  Shiv Naga Prasad Vitaladevuni

    IPC: G10L15/22 ,  G10L15/16

    Abstract: A system processes audio data to detect when it includes a representation of a wakeword or of an acoustic event. The system may receive or determine acoustic features for the audio data, such as log-filterbank energy (LFBE). The acoustic features may be used by a first, wakeword-detection model to detect the wakeword; the output of this model may be further processed using a softmax function, to smooth it, and to detect spikes. The same acoustic features may be also be used by a second, acoustic-event-detection model to detect the acoustic event; the output of this model may be further processed using a sigmoid function and a classifier. Another model may be used to extract additional features from the LFBE data; these additional features may be used by the other models.

    Wakeword and acoustic event detection
    2.
    发明授权
    Wakeword and acoustic event detection 有权

    公开(公告)号：US11132990B1

    公开(公告)日：2021-09-28

    申请号：US16453063

    申请日：2019-06-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Ming Sun ,  Thibaud Senechal ,  Yixin Gao ,  Anish N. Shah ,  Spyridon Matsoukas ,  Chao Wang ,  Shiv Naga Prasad Vitaladevuni

    IPC: G10L15/08 ,  G10L25/87 ,  G06F3/16 ,  G10L25/21

    Abstract: A system processes audio data to detect when it includes a representation of a wakeword or of an acoustic event. The system may receive or determine acoustic features for the audio data, such as log-filterbank energy (LFBE). The acoustic features may be used by a first, wakeword-detection model to detect the wakeword; the output of this model may be further processed using a softmax function, to smooth it, and to detect spikes. The same acoustic features may be also be used by a second, acoustic-event-detection model to detect the acoustic event; the output of this model may be further processed using a sigmoid function and a classifier. Another model may be used to extract additional features from the LFBE data; these additional features may be used by the other models.

    Acoustic trigger detection
    4.
    发明授权
    Acoustic trigger detection 有权

    公开(公告)号：US10460722B1

    公开(公告)日：2019-10-29

    申请号：US15639175

    申请日：2017-06-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Ming Sun ,  David Snyder ,  Yixin Gao ,  Nikko Strom ,  Spyros Matsoukas ,  Shiv Naga Prasad Vitaladevuni

    IPC: G10L15/06 ,  G10L15/16 ,  H04M1/27 ,  G06F3/16 ,  G10L15/32 ,  G10L15/22

    Abstract: A method for selective transmission of audio data to a speech processing server uses detection of an acoustic trigger in the audio data in determining the data to transmit. Detection of the acoustic trigger makes use of an efficient computation approach that reduces the amount of run-time computation required, or equivalently improves accuracy for a given amount of computation, by combining a “time delay” structure in which intermediate results of computations are reused at various time delays, thereby avoiding computation of computing new results, and decomposition of certain transformations to require fewer arithmetic operations without sacrificing significant performance. For a given amount of computation capacity the combination of these two techniques provides improved accuracy as compared to current approaches.

    Wakeword and acoustic event detection
    6.
    发明授权
    Wakeword and acoustic event detection 有权

    公开(公告)号：US11670299B2

    公开(公告)日：2023-06-06

    申请号：US17321999

    申请日：2021-05-17

    Applicant: Amazon Technologies, Inc.

    Inventor： Ming Sun ,  Thibaud Senechai ,  Yixin Gao ,  Anish N. Shah ,  Spyridon Matsoukas ,  Chao Wang ,  Shiv Naga Prasad Vitaladevuni

    IPC: G10L15/22 ,  G10L15/16

    CPC classification number: G10L15/22 ,  G10L15/16

    Abstract: A system processes audio data to detect when it includes a representation of a wakeword or of an acoustic event. The system may receive or determine acoustic features for the audio data, such as log-filterbank energy (LFBE). The acoustic features may be used by a first, wakeword-detection model to detect the wakeword; the output of this model may be further processed using a softmax function, to smooth it, and to detect spikes. The same acoustic features may be also be used by a second, acoustic-event-detection model to detect the acoustic event; the output of this model may be further processed using a sigmoid function and a classifier. Another model may be used to extract additional features from the LFBE data; these additional features may be used by the other models.

    WAKEWORD AND ACOUSTIC EVENT DETECTION
    9.
    发明申请
    WAKEWORD AND ACOUSTIC EVENT DETECTION 有权

    公开(公告)号：US20210358497A1

    公开(公告)日：2021-11-18

    申请号：US17321999

    申请日：2021-05-17

    Applicant: Amazon Technologies, Inc.

    Inventor： Ming Sun ,  Thibaud Senechal ,  Yixin Gao ,  Anish N. Shah ,  Spyridon Matsoukas ,  Chao Wang ,  Shiv Naga Prasad Vitaladevuni

    IPC: G10L15/22 ,  G10L15/16

    Abstract: A system processes audio data to detect when it includes a representation of a wakeword or of an acoustic event. The system may receive or determine acoustic features for the audio data, such as log-filterbank energy (LFBE). The acoustic features may be used by a first, wakeword-detection model to detect the wakeword; the output of this model may be further processed using a softmax function, to smooth it, and to detect spikes. The same acoustic features may be also be used by a second, acoustic-event-detection model to detect the acoustic event; the output of this model may be further processed using a sigmoid function and a classifier. Another model may be used to extract additional features from the LFBE data; these additional features may be used by the other models.

    Binary target acoustic trigger detecton
    10.
    发明授权
    Binary target acoustic trigger detecton 有权

    公开(公告)号：US10460729B1

    公开(公告)日：2019-10-29

    申请号：US15639254

    申请日：2017-06-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Ming Sun ,  Aaron Lee Mathers Challenner ,  Yixin Gao ,  Shiv Naga Prasad Vitaladevuni

    IPC: G10L15/22 ,  G10L25/30 ,  G10L15/02 ,  G10L15/16

    Abstract: A method for selective transmission of audio data to a speech processing server uses detection of an acoustic trigger in the audio data in determining the data to transmit. Detection of the acoustic trigger makes use of an efficient computation approach that reduces the amount of run-time computation required, or equivalently improves accuracy for a given amount of computation, by using a neural network to determine an indicator of presence of the acoustic trigger. In some example, the neural network combines a “time delay” structure in which intermediate results of computations are reused at various time delays, thereby avoiding computation of computing new results, and decomposition of certain transformations to require fewer arithmetic operations without sacrificing significant performance.

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