A study on speech recognition with whole Chinese syllables in unified frame of HMM and DTW

In this paper,the Generalized Model (GM) is defined,which unifles Dynamic Time Warping (DTW) and Hidden Markov Model (HMM) illto a frame of acoustical model.Analysis indicates that GMdescribes speech signal more exactly and needs less storage cost.The GM is employed as the recognizer of a speech recognition system of whole Chinese syllables,and the comparative experiment results of GM,Discrete HMM (DHMM) and DTW show that in speaker dependent situation,the performance of GM is equivalent to that of DTW and better than that of DHMM,and in speaker independent situation,is better than that of both DHMM and DTW.