The continuous density hidden Markov model(CDHMM) is adopted, Viterbi and Baum-Welch reestimation algorithms is utilized to train and recognize the speech signals.

• 采用连续HMM模型，利用Baum-Welth重估、Viterbi算法进行训练和识别，实现系统软件设计。