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    Systems and methods for selective wake word detection
    1.
    发明授权
    Systems and methods for selective wake word detection 有权

    公开(公告)号：US12165644B2

    公开(公告)日：2024-12-10

    申请号：US18459982

    申请日：2023-09-01

    Applicant: Sonos, Inc.

    Inventor： Joachim Fainberg ,  Daniele Giacobello ,  Klaus Hartung

    IPC: G10L15/22 ,  G10L15/14 ,  G10L15/16 ,  G10L15/30 ,  G10L15/32 ,  G10L15/08

    Abstract: Systems and methods for media playback via a media playback system include capturing sound data via a network microphone device and identifying a candidate wake word in the sound data. Based on identification of the candidate wake word in the sound data, the system selects a first wake-word engine from a plurality of wake-word engines. Via the first wake-word engine, the system analyzes the sound data to detect a confirmed wake word, and, in response to detecting the confirmed wake word, transmits a voice utterance of the sound data to one or more remote computing devices associated with a voice assistant service.

    Robust Short-Time Fourier Transform Acoustic Echo Cancellation During Audio Playback
    2.
    发明公开
    Robust Short-Time Fourier Transform Acoustic Echo Cancellation During Audio Playback 审中-公开

    公开(公告)号：US20230395088A1

    公开(公告)日：2023-12-07

    申请号：US18313013

    申请日：2023-05-05

    Applicant: Sonos, Inc.

    Inventor： Daniele Giacobello

    IPC: G10L21/02 ,  G10K11/178 ,  H04M9/08 ,  G10L21/0208

    CPC classification number: G10L21/02 ,  G10K11/178 ,  H04M9/082 ,  G10L21/0208 ,  H04R27/00

    Abstract: Example techniques involve noise-robust acoustic echo cancellation. An example implementation may involve causing one or more speakers of the playback device to play back audio content and while the audio content is playing back, capturing, via the one or more microphones, audio within an acoustic environment that includes the audio playback. The example implementation may involve determining measured and reference signals in the STFT domain. During each nth iteration of an acoustic echo canceller (AEC): the implementation may involve determining a frame of an output signal by generating a frame of a model signal by passing a frame of the reference signal through an instance of an adaptive filter and then redacting the nth frame of the model signal from an nth frame of the measured signal. The implementation may further involve determining an instance of the adaptive filter for a next iteration of the AEC.

    LINEAR FILTERING FOR NOISE-SUPPRESSED SPEECH DETECTION VIA MULTIPLE NETWORK MICROPHONE DEVICES
    4.
    发明申请
    LINEAR FILTERING FOR NOISE-SUPPRESSED SPEECH DETECTION VIA MULTIPLE NETWORK MICROPHONE DEVICES 审中-公开

    公开(公告)号：US20200321021A1

    公开(公告)日：2020-10-08

    申请号：US16907953

    申请日：2020-06-22

    Applicant: Sonos, Inc.

    Inventor： Saeed Bagheri Sereshki ,  Daniele Giacobello

    IPC: G10L25/84 ,  G10L15/08 ,  G10L15/22 ,  G10L21/0232 ,  H04R1/40 ,  H04R3/00

    Abstract: Systems and methods for suppressing noise and detecting voice input in a multi-channel audio signal captured by two or more network microphone devices include receiving an instruction to process one or more audio signals captured by a first network microphone device and after receiving the instruction (i) disabling at least a first microphone of a plurality of microphones of a second network microphone device, (ii) capturing a first audio signal via a second microphone of the plurality of microphones, (iii) receiving over a network interface of the second network microphone device a second audio signal captured via at least a third microphone of the first network microphone device, (iv) using estimated noise content to suppress first and second noise content in the first and second audio signals, (v) combining the suppressed first and second audio signals into a third audio signal, and (vi) determining that the third audio signal includes a voice input comprising a wake word.

    Linear filtering for noise-suppressed speech detection via multiple network microphone devices
    5.
    发明授权
    Linear filtering for noise-suppressed speech detection via multiple network microphone devices 有权

    公开(公告)号：US10692518B2

    公开(公告)日：2020-06-23

    申请号：US16147710

    申请日：2018-09-29

    Applicant: Sonos, Inc.

    Inventor： Saeed Bagheri Sereshki ,  Daniele Giacobello

    IPC: G10L21/0208 ,  G10L25/84 ,  G10L21/0232 ,  G10L15/22 ,  H04R1/40 ,  H04R3/00 ,  G10L15/08

    Abstract: Systems and methods for suppressing noise and detecting voice input in a multi-channel audio signal captured by two or more network microphone devices include receiving an instruction to process one or more audio signals captured by a first network microphone device and after receiving the instruction (i) disabling at least a first microphone of a plurality of microphones of a second network microphone device, (ii) capturing a first audio signal via a second microphone of the plurality of microphones, (iii) receiving over a network interface of the second network microphone device a second audio signal captured via at least a third microphone of the first network microphone device, (iv) using estimated noise content to suppress first and second noise content in the first and second audio signals, (v) combining the suppressed first and second audio signals into a third audio signal, and (vi) determining that the third audio signal includes a voice input comprising a wake word.

    Robust short-time fourier transform acoustic echo cancellation during audio playback
    7.
    发明授权
    Robust short-time fourier transform acoustic echo cancellation during audio playback 有权

    公开(公告)号：US12217765B2

    公开(公告)日：2025-02-04

    申请号：US18313013

    申请日：2023-05-05

    Applicant: Sonos, Inc.

    Inventor： Daniele Giacobello

    IPC: G10L21/02 ,  G10K11/178 ,  G10L21/0208 ,  G10L21/0232 ,  H04M9/08 ,  H04R3/00 ,  H04R3/12 ,  H04R27/00 ,  H04R29/00

    Abstract: Example techniques involve noise-robust acoustic echo cancellation. An example implementation may involve causing one or more speakers of the playback device to play back audio content and while the audio content is playing back, capturing, via the one or more microphones, audio within an acoustic environment that includes the audio playback. The example implementation may involve determining measured and reference signals in the STFT domain. During each nth iteration of an acoustic echo canceller (AEC): the implementation may involve determining a frame of an output signal by generating a frame of a model signal by passing a frame of the reference signal through an instance of an adaptive filter and then redacting the nth frame of the model signal from an nth frame of the measured signal. The implementation may further involve determining an instance of the adaptive filter for a next iteration of the AEC.

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