All Chinese words are single syllables with C/V (Consonant/Vowel) structure. In this paper, a method for Chinese syllables recognition based upon the unique C/V structure of Chinese syllables is described. All the 1254 Chinese toned syllables (excluding some rare syllables) are decomposed into 155 sub-syllable units, 117 for consonants and 38 for vowels. In this way, the problem of performance degradation caused by insufficient training data is avoided, and the robustness of recognition is improved. Experimental results show that recognition rate is above 90% when applying this method to a real-time recognition system.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A method for Chinese syllables recognition based upon sub-syllable hidden Markov model


    Contributors:
    Tianying Ji (author) / Zuoying Wang (author) / Dajin Lu (author)


    Publication date :

    1994-01-01


    Size :

    268969 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Method for Chinese Syllables Recognition Based upon Sub-Syllable Hidden Markov Model

    Ji, T. / Wang, Z. / Lu, D. et al. | British Library Conference Proceedings | 1994


    Gait Recognition Based on Embedded Hidden Markov Model

    Zhang, Q. / Xu, S. | British Library Online Contents | 2010


    Parallel Neural Networks for Speaker-Independent All-Chinese-Syllable Speech Recognition

    Fang, D. / IEEE; Hong Kong Chapter of Signal Processing | British Library Conference Proceedings | 1994



    Driving intention recognition method based on Gaussian mixture-hidden Markov model

    SHEN YU / LIU GUANGHUI / XU JIAWEN et al. | European Patent Office | 2024

    Free access