利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

6 条记录 (耗时 0.02 秒)

    DYNAMICALLY CONFIGURING A WARM WORD BUTTON WITH ASSISTANT COMMANDS
    1.
    发明申请
    DYNAMICALLY CONFIGURING A WARM WORD BUTTON WITH ASSISTANT COMMANDS 有权

    公开(公告)号：US20230061929A1

    公开(公告)日：2023-03-02

    申请号：US17532315

    申请日：2021-11-22

    申请人： GOOGLE LLC

    发明人： Victor Carbune ,  Antonio Gaetani ,  Bastiaan Van Eeckhoudt ,  Daniel Valcarce ,  Michael Golikov ,  Justin Lu ,  Ondrej Skopek ,  Nicolo D'Ercole ,  Zaheed Sabur ,  Behshad Behzadi ,  Luv Kothari

    IPC分类号： G10L17/22

    摘要： Implementations described herein relate to configuring a dynamic warm word button, that is associated with a client device, with particular assistant commands based on detected occurrences of warm word activation events at the client device. In response to detecting an occurrence of a given warm word activation event at the client device, implementations can determine whether user verification is required for a user that actuated the warm word button. Further, in response to determining that the user verification is required for the user that actuated the warm word button, the user verification can be performed. Moreover, in response to determining that the user that actuated the warm word button has been verified, implementations can cause an automated assistant to perform the particular assistant command associated with the warm word activation event. Audio-based and/or non-audio-based techniques can be utilized to perform the user verification.

    Contextual suppression of assistant command(s)
    2.
    发明授权
    Contextual suppression of assistant command(s) 有权

    公开(公告)号：US11557293B2

    公开(公告)日：2023-01-17

    申请号：US17321994

    申请日：2021-05-17

    申请人： GOOGLE LLC

    发明人： Victor Carbune ,  Matthew Sharifi ,  Ondrej Skopek ,  Justin Lu ,  Daniel Valcarce ,  Kevin Kilgour ,  Mohamad Hassan Rom ,  Nicolo D'Ercole ,  Michael Golikov

    IPC分类号： G10L15/22 ,  G10L15/18 ,  G10L25/78 ,  G10L15/05 ,  G10L15/08

    摘要： Some implementations process, using warm word model(s), a stream of audio data to determine a portion of the audio data that corresponds to particular word(s) and/or phrase(s) (e.g., a warm word) associated with an assistant command, process, using an automatic speech recognition (ASR) model, a preamble portion of the audio data (e.g., that precedes the warm word) and/or a postamble portion of the audio data (e.g., that follows the warm word) to generate ASR output, and determine, based on processing the ASR output, whether a user intended the assistant command to be performed. Additional or alternative implementations can process the stream of audio data using a speaker identification (SID) model to determine whether the audio data is sufficient to identify the user that provided a spoken utterance captured in the stream of audio data, and determine if that user is authorized to cause performance of the assistant command.

    CONTEXTUAL SUPPRESSION OF ASSISTANT COMMAND(S)
    6.
    发明申请
    CONTEXTUAL SUPPRESSION OF ASSISTANT COMMAND(S) 有权

    公开(公告)号：US20220366903A1

    公开(公告)日：2022-11-17

    申请号：US17321994

    申请日：2021-05-17

    申请人： GOOGLE LLC

    发明人： Victor Carbune ,  Matthew Sharifi ,  Ondrej Skopek ,  Justin Lu ,  Daniel Valcarce ,  Kevin Kilgour ,  Mohamad Hassan Rom ,  Nicolo D'Ercole ,  Michael Golikov

    IPC分类号： G10L15/22 ,  G10L15/18 ,  G10L15/05 ,  G10L25/78

    摘要： Some implementations process, using warm word model(s), a stream of audio data to determine a portion of the audio data that corresponds to particular word(s) and/or phrase(s) (e.g., a warm word) associated with an assistant command, process, using an automatic speech recognition (ASR) model, a preamble portion of the audio data (e.g., that precedes the warm word) and/or a postamble portion of the audio data (e.g., that follows the warm word) to generate ASR output, and determine, based on processing the ASR output, whether a user intended the assistant command to be performed. Additional or alternative implementations can process the stream of audio data using a speaker identification (SID) model to determine whether the audio data is sufficient to identify the user that provided a spoken utterance captured in the stream of audio data, and determine if that user is authorized to cause performance of the assistant command.