NEURAL NETWORK TRAINING METHOD AND APPARATUS, AND RECOGNITION METHOD AND APPARATUS
    2.
    发明申请
    NEURAL NETWORK TRAINING METHOD AND APPARATUS, AND RECOGNITION METHOD AND APPARATUS 审中-公开
    神经网络训练方法和装置,识别方法和装置

    公开(公告)号:US20160247064A1

    公开(公告)日:2016-08-25

    申请号:US14833285

    申请日:2015-08-24

    Abstract: Disclosed is a neural network training method and apparatus, and recognition method and apparatus. The neural network training apparatus receives data and train a neural network based on remaining hidden nodes obtained by excluding a reference hidden node from hidden nodes included in the neural network, wherein the reference hidden node maintains a value in a previous time interval until a subsequent time interval.

    Abstract translation: 公开了一种神经网络训练方法和装置,以及识别方法和装置。 所述神经网络训练装置基于通过从所述神经网络中包含的隐藏节点排除参考隐藏节点而获得的剩余隐藏节点接收数据并训练神经网络,其中所述参考隐藏节点保持先前时间间隔中的值,直到后续时间 间隔。

    METHOD AND APPARATUS WITH SPEECH PROCESSING

    公开(公告)号:US20230051625A1

    公开(公告)日:2023-02-16

    申请号:US17973452

    申请日:2022-10-25

    Inventor: Sanghyun YOO

    Abstract: Disclosed is a method and apparatus for processing a speech. The method includes obtaining context information from a speech signal of a user using a neural network-based encoder, determining, based on the context information, attention information corresponding to a segment included in the speech signal, and recognizing, based on the attention information, the segment by decoding a portion of the context information identified as corresponding to the segment.

    METHOD AND APPARATUS WITH SPEECH PROCESSING

    公开(公告)号:US20210110820A1

    公开(公告)日:2021-04-15

    申请号:US16797069

    申请日:2020-02-21

    Inventor: Sanghyun YOO

    Abstract: Disclosed is a method and apparatus for processing a speech. The method includes obtaining context information from a speech signal of a user using a neural network-based encoder, determining intent information of the speech signal based on the context information, determining, based on the context information, attention information corresponding to a segment included in the speech signal, and determining, based on the attention information, a segment value of the segment by recognizing, using a decoder, a portion of the context information identified as corresponding to the segment

    METHOD AND DEVICE WITH CLASSIFICATION VERIFICATION

    公开(公告)号:US20210406688A1

    公开(公告)日:2021-12-30

    申请号:US17469590

    申请日:2021-09-08

    Abstract: A method and computing device with classification verification is provided. A processor-implemented method includes implementing a classification neural network to generate a classification result of data input to the classification neural network by generating, with respect to the input data, intermediate hidden values of one or more hidden layers of the classification neural network, generating the classification result of the input data based on the generated intermediate hidden values, and generating a determination of a reliability of the classification result by implementing a verification neural network, input the intermediate hidden values, to generate the determination of the reliability.

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