Title :
A method for Chinese syllables recognition based upon sub-syllable hidden Markov model
Author :
Ji, Tianying ; Wang, Zuoying ; Lu, Dajin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
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
Keywords :
character sets; hidden Markov models; speech recognition; Chinese syllables recognition; consonant/vowel structure; real-time recognition system; recognition rate; robustness; sub-syllable hidden Markov model; sub-syllable units; toned syllables; Character recognition; Degradation; Hidden Markov models; Mice; Natural languages; Real time systems; Robustness; Speech recognition; Training data; Writing;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344808
