Model training method and apparatus

    公开(公告)号:US11727275B2

    公开(公告)日:2023-08-15

    申请号:US17950521

    申请日:2022-09-22

    CPC classification number: G06N3/08

    Abstract: A model training method and apparatus is disclosed, where the model training method acquires a recognition result of a teacher model and a recognition result of a student model for an input sequence and trains the student model such that the recognition result of the teacher model and the recognition result of the student model are not distinguished from each other.

    Method and apparatus for processing sequence

    公开(公告)号:US11182555B2

    公开(公告)日:2021-11-23

    申请号:US16844362

    申请日:2020-04-09

    Abstract: A sequence processing method and apparatus are provided. The sequence processing method includes determining a word of a first R-node corresponding to a root node based on an input sequence, generating first I-nodes that are connected to the first R-node and include relative position information with respect to the word of the first R-node, determining a word of a second R-node to correspond to each of the first I-nodes, and determining an output sequence corresponding to the input sequence based on the determined words.

    Recognition method and apparatus
    17.
    发明授权

    公开(公告)号:US11017294B2

    公开(公告)日:2021-05-25

    申请号:US15585377

    申请日:2017-05-03

    Inventor: Hwidong Na

    Abstract: A method of recognizing input data includes determining a feature vector corresponding to an ensemble model from input data, based on the ensemble model, and recognizing the input data based on the feature vector. The ensemble model includes a first model and a second model having a structure that is the same as a structure of the first model.

    Apparatus and method for generating sentence

    公开(公告)号:US10713439B2

    公开(公告)日:2020-07-14

    申请号:US15471573

    申请日:2017-03-28

    Abstract: A sentence generating apparatus includes an encoder configured to generate a first sentence embedding vector by applying trained result data to a first paraphrased sentence of an input sentence, an extractor configured to extract verification sentences in a preset range from the generated first sentence embedding vector, and a determiner configured to determine a similarity of the first paraphrased sentence to the input sentence based on comparing the verification sentences to the input sentence.

    Speech recognizing method and apparatus

    公开(公告)号:US10679612B2

    公开(公告)日:2020-06-09

    申请号:US15808324

    申请日:2017-11-09

    Abstract: A speech recognizing method and apparatus is provided. A speech recognizing method, implementing a speech recognizing model neural network for recognition of a speech, includes determining an attention weight based on an output value output by at least one layer of the speech recognizing model neural network at a previous time of the recognition of the speech, applying the determined attention weight to a speech signal corresponding to a current time of the recognition of the speech, and recognizing the speech signal to which the attention weight is applied, using the speech recognizing model neural network.

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