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.
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释义
摘要提出一种改进的最大互信息(MMI)准则函数并把它应用于隐马尔可夫模型(HMM)的参数估计,重新推导了HMM的迭代公式。
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