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    CONTEXTUAL HOTWORDS
    41.
    发明申请
    CONTEXTUAL HOTWORDS 审中-公开

    公开(公告)号：US20190287528A1

    公开(公告)日：2019-09-19

    申请号：US16362831

    申请日：2019-03-25

    Applicant: Google LLC

    Inventor： Christopher Thaddeus Hughes ,  Ignacio Lopez Moreno ,  Aleksandar Kracun

    IPC: G10L15/22 ,  G10L15/08 ,  G10L15/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextual hotwords are disclosed. In one aspect, a method, during a boot process of a computing device, includes the actions of determining, by a computing device, a context associated with the computing device. The actions further include, based on the context associated with the computing device, determining a hotword. The actions further include, after determining the hotword, receiving audio data that corresponds to an utterance. The actions further include determining that the audio data includes the hotword. The actions further include, in response to determining that the audio data includes the hotword, performing an operation associated with the hotword.

    Contextual hotwords
    42.
    发明授权
    Contextual hotwords 有权

    公开(公告)号：US10276161B2

    公开(公告)日：2019-04-30

    申请号：US15391358

    申请日：2016-12-27

    Applicant: Google LLC

    Inventor： Christopher Thaddeus Hughes ,  Ignacio Lopez Moreno ,  Aleksandar Kracun

    IPC: G10L15/02 ,  G10L15/08 ,  G10L15/22 ,  G10L15/20

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextual hotwords are disclosed. In one aspect, a method, during a boot process of a computing device, includes the actions of determining, by a computing device, a context associated with the computing device. The actions further include, based on the context associated with the computing device, determining a hotword. The actions further include, after determining the hotword, receiving audio data that corresponds to an utterance. The actions further include determining that the audio data includes the hotword. The actions further include, in response to determining that the audio data includes the hotword, performing an operation associated with the hotword.

    Neural Networks For Speaker Verification
    43.
    发明申请
    Neural Networks For Speaker Verification 审中-公开

    公开(公告)号：US20180315430A1

    公开(公告)日：2018-11-01

    申请号：US15966667

    申请日：2018-04-30

    Applicant: Google LLC

    Inventor： Georg Heigold ,  Samuel Bengio ,  Ignacio Lopez Moreno

    IPC: G10L17/18 ,  G10L17/02 ,  G10L17/04

    Abstract: This document generally describes systems, methods, devices, and other techniques related to speaker verification, including (i) training a neural network for a speaker verification model, (ii) enrolling users at a client device, and (iii) verifying identities of users based on characteristics of the users' voices. Some implementations include a computer-implemented method. The method can include receiving, at a computing device, data that characterizes an utterance of a user of the computing device. A speaker representation can be generated, at the computing device, for the utterance using a neural network on the computing device. The neural network can be trained based on a plurality of training samples that each: (i) include data that characterizes a first utterance and data that characterizes one or more second utterances, and (ii) are labeled as a matching speakers sample or a non-matching speakers sample.

    Targeted voice separation by speaker for speech recognition
    45.
    发明授权
    Targeted voice separation by speaker for speech recognition 有权

    公开(公告)号：US12254891B2

    公开(公告)日：2025-03-18

    申请号：US17619648

    申请日：2019-10-10

    Applicant: GOOGLE LLC

    Inventor： Quan Wang ,  Ignacio Lopez Moreno ,  Li Wan

    IPC: G10L21/028 ,  G10L17/02 ,  G10L17/04 ,  G10L17/18 ,  G10L21/0232

    Abstract: Processing of acoustic features of audio data to generate one or more revised versions of the acoustic features, where each of the revised versions of the acoustic features isolates one or more utterances of a single respective human speaker. Various implementations generate the acoustic features by processing audio data using portion(s) of an automatic speech recognition system. Various implementations generate the revised acoustic features by processing the acoustic features using a mask generated by processing the acoustic features and a speaker embedding for the single human speaker using a trained voice filter model. Output generated over the trained voice filter model is processed using the automatic speech recognition system to generate a predicted text representation of the utterance(s) of the single human speaker without reconstructing the audio data.

    Neural networks for speaker verification
    47.
    发明授权
    Neural networks for speaker verification 有权

    公开(公告)号：US12148433B2

    公开(公告)日：2024-11-19

    申请号：US18485069

    申请日：2023-10-11

    Applicant: Google LLC

    Inventor： Georg Heigold ,  Samuel Bengio ,  Ignacio Lopez Moreno

    IPC: G10L17/18 ,  G10L17/02 ,  G10L17/04

    Abstract: This document generally describes systems, methods, devices, and other techniques related to speaker verification, including (i) training a neural network for a speaker verification model, (ii) enrolling users at a client device, and (iii) verifying identities of users based on characteristics of the users' voices. Some implementations include a computer-implemented method. The method can include receiving, at a computing device, data that characterizes an utterance of a user of the computing device. A speaker representation can be generated, at the computing device, for the utterance using a neural network on the computing device. The neural network can be trained based on a plurality of training samples that each: (i) include data that characterizes a first utterance and data that characterizes one or more second utterances, and (ii) are labeled as a matching speakers sample or a non-matching speakers sample.

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