A new approach for hidden Markov model (HMM) training based on an improved maximum mutual information (MMI) criterion was presented and HMM parameter adjustment rules were induced.

 
  • 摘要提出一種改進(jìn)的最大互信息(MMI)準則函數并把它應用于隱馬爾可夫模型(HMM)的參數估計,重新推導了HMM的迭代公式。
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