基于样本熵的浊音和浊音信号复杂度分析

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI:10.1109/MCSI.2017.14

Guiqi Sun, Z. Fan, N. Mastorakis, S. Kaminaris, X. Zhuang

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引用次数: 2

摘要

研究了浊音和不浊音语音信号复杂度的差异。对一组单音素发音的样本熵进行了估计。实验数据表明，浊音和浊音的信号复杂度不同，证明了样本熵特征在浊音和浊音分类中的有效性。

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The Complexity Analysis of Voiced and Unvoiced Speech Signal Based on Sample Entropy

The difference of signal complexity for voiced/unvoiced speech is studied. The sample entropy is estimated for a group of single phoneme pronunciations. The experimental data indicates that voiced and unvoiced pronunciations are different in signal complexity, which proves the effectiveness of the sample entropy feature for voiced/unvoiced classification.

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2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

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