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    Speaker identification accuracy
    31.
    发明授权
    Speaker identification accuracy 有权

    公开(公告)号：US11468900B2

    公开(公告)日：2022-10-11

    申请号：US17071223

    申请日：2020-10-15

    Applicant: Google LLC

    Inventor： Yeming Fang ,  Quan Wang ,  Pedro Jose Moreno Mengibar ,  Ignacio Lopez Moreno ,  Gang Feng ,  Fang Chu ,  Jin Shi ,  Jason William Pelecanos

    IPC: G10L17/02 ,  G10L17/06

    Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

    IDENTIFICATION AND UTILIZATION OF MISRECOGNITIONS IN AUTOMATIC SPEECH RECOGNITION
    33.
    发明申请
    IDENTIFICATION AND UTILIZATION OF MISRECOGNITIONS IN AUTOMATIC SPEECH RECOGNITION 有权

    公开(公告)号：US20220139373A1

    公开(公告)日：2022-05-05

    申请号：US17251284

    申请日：2020-07-08

    Applicant: Google LLC

    Inventor： Ágoston Weisz ,  Ignacio Lopez Moreno ,  Alexandru Dovlecel

    IPC: G10L15/06 ,  G10L15/02 ,  G10L15/22

    Abstract: Techniques are disclosed that enable determining and/or utilizing a misrecognition of a spoken utterance, where the misrecognition is generated using an automatic speech recognition (ASR) model. Various implementations include determining a recognition based on the spoken utterance and a previous utterance spoken prior to the spoken utterance. Additionally or alternatively, implementations include personalizing an ASR engine for a user based on the spoken utterance and the previous utterance spoken prior to the spoken utterance (e.g., based on audio data capturing the previous utterance and a text representation of the spoken utterance).

    AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE
    35.
    发明申请
    AUTOMATICALLY DETERMINING LANGUAGE FOR SPEECH RECOGNITION OF SPOKEN UTTERANCE RECEIVED VIA AN AUTOMATED ASSISTANT INTERFACE 有权

    公开(公告)号：US20210074280A1

    公开(公告)日：2021-03-11

    申请号：US17099367

    申请日：2020-11-16

    Applicant: Google LLC

    Inventor： Pu-sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno

    IPC: G10L15/197 ,  G10L15/00 ,  G10L15/22 ,  G10L15/30 ,  G10L15/08 ,  G10L15/14 ,  G10L15/18 ,  G10L13/00

    Abstract: Determining a language for speech recognition of a spoken utterance received via an automated assistant interface for interacting with an automated assistant. Implementations can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. Implementations determine a user profile that corresponds to audio data that captures a spoken utterance, and utilize language(s), and optionally corresponding probabilities, assigned to the user profile in determining a language for speech recognition of the spoken utterance. Some implementations select only a subset of languages, assigned to the user profile, to utilize in speech recognition of a given spoken utterance of the user. Some implementations perform speech recognition in each of multiple languages assigned to the user profile, and utilize criteria to select only one of the speech recognitions as appropriate for generating and providing content that is responsive to the spoken utterance.

    TEXT INDEPENDENT SPEAKER RECOGNITION
    36.
    发明申请
    TEXT INDEPENDENT SPEAKER RECOGNITION 有权

    公开(公告)号：US20210043191A1

    公开(公告)日：2021-02-11

    申请号：US17046994

    申请日：2019-12-02

    Applicant: Google LLC

    Inventor： Pu-sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno ,  Quan Wang

    IPC: G10L15/06 ,  G10L15/22 ,  G10L15/07 ,  G10L15/32 ,  G10L17/24

    Abstract: Text independent speaker recognition models can be utilized by an automated assistant to verify a particular user spoke a spoken utterance and/or to identify the user who spoke a spoken utterance. Implementations can include automatically updating a speaker embedding for a particular user based on previous utterances by the particular user. Additionally or alternatively, implementations can include verifying a particular user spoke a spoken utterance using output generated by both a text independent speaker recognition model as well as a text dependent speaker recognition model. Furthermore, implementations can additionally or alternatively include prefetching content for several users associated with a spoken utterance prior to determining which user spoke the spoken utterance.

    Adaptive interface in a voice-based networked system
    37.
    发明授权
    Adaptive interface in a voice-based networked system 有权

    公开(公告)号：US10679611B2

    公开(公告)日：2020-06-09

    申请号：US15973466

    申请日：2018-05-07

    Applicant: Google LLC

    Inventor： Pu-Sen Chao ,  Diego Melendo Casado ,  Ignacio Lopez Moreno

    IPC: G10L15/00 ,  G10L15/14 ,  G10L15/18 ,  G10L15/02 ,  G10L15/08

    Abstract: The present disclosure relates generally to determining a language for speech recognition of a spoken utterance, received via an automated assistant interface, for interacting with an automated assistant. The system can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. Selection of a speech recognition model for a particular language can based on one or more interaction characteristics exhibited during a dialog session between a user and an automated assistant. Such interaction characteristics can include anticipated user input types, anticipated user input durations, a duration for monitoring for a user response, and/or an actual duration of a provided user response.

    Sub-matrix input for neural network layers
    38.
    发明授权
    Sub-matrix input for neural network layers 有权

    公开(公告)号：US10580401B2

    公开(公告)日：2020-03-03

    申请号：US14613493

    申请日：2015-02-04

    Applicant: Google LLC

    Inventor： Ignacio Lopez Moreno ,  Yu-hsin Joyce Chen

    IPC: G10L15/16 ,  G06N3/04 ,  G10L17/18 ,  G10L15/08

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.

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