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首页> 外文期刊>Electronics Letters >Codebook design using genetic algorithm and its application to speaker identification
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Codebook design using genetic algorithm and its application to speaker identification

机译:基于遗传算法的码本设计及其在说话人识别中的应用

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摘要

A new codebook design algorithm for text-independent speaker identification based on the discrete hidden Markov model (HMM) is proposed. The optimisation criterion of the new training procedure is to make each codevector in the codebook to represent the same number of training vectors approximately rather than to minimise the quantisation error. This idea is implemented with a genetic algorithm. The new codebook is evaluated experimentally. It is shown that, for a small codebook, the speaker identification performance using the new codebook is better than that obtained using the Linde-Buzo-Grey codebook for HMM-based speaker identification.
机译:提出了一种基于离散隐马尔可夫模型(HMM)的独立于文本的说话人识别码本设计算法。新训练过程的优化标准是使码本中的每个码向量近似代表相同数量的训练向量,而不是使量化误差最小。这个想法是通过遗传算法实现的。新的密码本经过实验评估。结果表明,对于一个小的密码本,使用新密码本的说话人识别性能要好于使用Linde-Buzo-Grey密码本进行基于HMM的说话人识别。

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