Fuzzy evolutionary programming for hidden Markov modelling in speaker identification

T. V. Le, D. Tran, M. Wagner
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引用次数: 5

Abstract

Gibbs distribution is used to represent fuzzy codebooks of individual speakers. The method of fuzzy evolutionary programming is employed to create the fuzzy codebooks and also to train hidden Markov models of speakers. This method increases the chance of attaining global maxima in the Baum-Welch algorithm for hidden Markov model re-estimation. The experiments show the results of speaker identification are very encouraging.
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基于模糊进化规划的隐马尔可夫建模在说话人识别中的应用
Gibbs分布用于表示单个说话人的模糊码本。利用模糊进化规划的方法建立模糊码本,并对说话人的隐马尔可夫模型进行训练。该方法增加了隐马尔可夫模型重估计的Baum-Welch算法获得全局最大值的机会。实验结果表明,说话人识别的结果是令人鼓舞的。
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