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.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Tianying Ji (Autor:in) / Zuoying Wang (Autor:in) / Dajin Lu (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    268969 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    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. | Europäisches Patentamt | 2024

    Freier Zugriff