A large-vocabulary Chinese speech recognition system

In this paper, we introduce a speaker depedent isolated word recognition system which is dedicated for Chinese character input. The method presented here offers an effective solution to the large-vocabulary isolated word recognition. The classification is performed hierarchically. In the preselection stage, the candidates are selected by KNN rule using the utterance length and coarse templates. A ranked list of candidates is obtained by the following final classifier which performs a nonlinear time alignment of uncompressed templates using DTW algorithm. The recognition rate is more than 90% when monosyllables take up 1/3 of the vocabulary (1000).