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.<>
A method for Chinese syllables recognition based upon sub-syllable hidden Markov model
1994-01-01
268969 byte
Conference paper
Electronic Resource
English
A Method for Chinese Syllables Recognition Based upon Sub-Syllable Hidden Markov Model
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