Speech recognition method and apparatus

    公开(公告)号:US10468030B2

    公开(公告)日:2019-11-05

    申请号:US15597668

    申请日:2017-05-17

    Abstract: Disclosed is a speech recognition method and apparatus, the method including two recognition processes, a first recognition process being performed using an acoustic model and a language model and a second recognition process being performed without distinguishing between the acoustic model and the language model in response to an accuracy of a result of the first recognition process not meeting a threshold. The apparatus including a processor configured to acquire a first text from a speech sequence using an acoustic model and a language model, determine whether an accuracy of the first text meets a threshold, and acquire a second text from the first text based on a parameter generated in acquiring the first text, in response to the accuracy of the first text being below the threshold.

    Method and apparatus for speech recognition

    公开(公告)号:US10140974B2

    公开(公告)日:2018-11-27

    申请号:US14751654

    申请日:2015-06-26

    Abstract: A method and apparatus for speech recognition are disclosed. The speech recognition apparatus includes a processor configured to process a received speech signal, generate a word sequence based on a phoneme sequence generated from the speech signal, generate a syllable sequence corresponding to a word element among words comprised in the word sequence based on the phoneme sequence, and determine a text corresponding to a recognition result of the speech signal based on the word sequence and the syllable sequence.

    Method and apparatus for machine translation using neural network and method of training the apparatus

    公开(公告)号:US10474758B2

    公开(公告)日:2019-11-12

    申请号:US15975927

    申请日:2018-05-10

    Abstract: A machine translation method and a machine translation apparatus using a neural network model are provided. The machine translation apparatus extracts information associated with a keyword from a source sentence, obtains a supplement sentence associated with the source sentence based on the extracted information associated with the keyword, acquires a first vector value from the source sentence and a second vector value from the supplement sentence using neural network model-based encoders, and outputs a target sentence corresponding to a translation of the source sentence based on any one or any combination of the first vector value and the second vector value using a neural network model-based decoder.

    METHOD AND APPARATUS FOR SPEECH RECOGNITION
    5.
    发明申请
    METHOD AND APPARATUS FOR SPEECH RECOGNITION 有权
    用于语音识别的方法和装置

    公开(公告)号:US20160210965A1

    公开(公告)日:2016-07-21

    申请号:US14993439

    申请日:2016-01-12

    CPC classification number: G10L15/22 G10L15/32 G10L21/0216 G10L2015/223

    Abstract: A method and apparatus for speech recognition are provided. The method and the apparatus calculate signal to noise ratios (SNRs) of speech signals from a user received at speech recognition apparatuses. The method and the apparatus recognize a reference speech signal having a maximum SNR among the SNRs.

    Abstract translation: 提供了一种用于语音识别的方法和装置。 该方法和装置计算来自在语音识别装置处接收的用户的语音信号的信噪比(SNR)。 所述方法和装置识别SNR中具有最大SNR的参考语音信号。

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