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

 
  • 采用連續HMM模型,利用Baum-Welth重估、Viterbi算法進(jìn)行訓練和識別,實(shí)現系統軟件設計。
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