隐Markov模型参数估计的一种新方法
A New Method for the Estimation of Hidden Markov Model Parameters
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摘要: 本文提出一种隐Markov模型参数估计的新方法.该方法直接以模型作识别器时的识别 率最高(或误识率最低)作为估计准则.由该准则导出的算法的性能明显优于最大似然估计 器.文中给出了该算法的一种实现形式. 实验表明,该方法的模型识别率比用最大似然方法求出的模型识别率提高5%左右.Abstract: The authors present a new method for estimating the parameter values of hidden Markov models in speech processing. In stead of relying on the traditional maximum likelihood rule, this method is based on the rule of maximum recognition-accuracy when the model is used directly as recognizer. The performance of this method is better than maximum likelihood estimation (MLE). Experiment has shown that the accuracy of speech recognition is about 5% higher than that of MLE.
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Key words:
- Stochastic modelling /
- markov chain /
- parameter estimation /
- speech processing
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