Aiming at the problem that the recognition accuracy of the system will decline when the target speaker voice tested in the speech recognition system and the speaker voice of the training data are significantly different, a power system speech recognition method based on natural language processing is proposed. It is speaker adaptation in the feature space. By adding speaker identity vector I-Vector auxiliary information to the DNN acoustic model, the speaker difference information in the feature is removed, the impact of speaker difference is reduced, and semantic information is retained. The experimental results on TEDLIUM open source data set show that the word error rate WER of the system is 7.7% and 6.7% higher than that of the baseline DNN acoustic model when the feature of this method is fbank and fMLLR respectively.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Power System Speech Recognition Method Based on Natural Language Processing


    Contributors:
    Re, Yonghui (author) / Jin, Yanxu (author) / Li, Chenglin (author) / Kong, Fengbo (author) / Shi, Yan (author)


    Publication date :

    2023-10-11


    Size :

    2522571 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Language processing for Chinese speech recognition

    Huang, T. / Jiang, Y. | IEEE | 1994


    Language Processing for Chinese Speech Recognition

    Huang, T. / Jiang, Y. / IEEE; Hong Kong Chapter of Signal Processing | British Library Conference Proceedings | 1994


    SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD

    BABA NAOYA / TAKEI TAKUMI | European Patent Office | 2019

    Free access

    SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD

    BABA NAOYA / TAKEI TAKUMI | European Patent Office | 2020

    Free access

    SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION SYSTEM, AND SPEECH RECOGNITION METHOD

    BABA NAOYA / TAKEI TAKUMI | European Patent Office | 2020

    Free access