An Effective Approach for Chinese Speech Recognition on Small Size of Vocabulary

In this paper, an effective approach for Chinese speech recognition on small vocabulary size is proposed - the independent speech recognition of Chinese words based on Hidden Markov Model (HMM). The features of speech words are generated by sub-syllable of Chinese characters. Total 640 speech samples are recorded by 4 native males and 4 females with frequently speaking ability. The preliminary results of inside and outside testing achieve 89.6% and 77.5%, respectively. To improve the performance, keyword spotting criterion is applied into our system. The final precision rates for inside and outside testing in average achieve 92.7% and 83.8%. The results prove that the approach for Chinese speech recognition on small vocabulary is effective