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A new method for automatic extraction of the voiced/unvoiced feature from Chinese continuous speech using wavelet transform

机译:利用小波变换自动提取汉语连续语音浊音特征的新方法

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摘要

Based on its physical mechanism and enhancement of the voiced unvoiced feature, a new method for automation segmenting Chinese continuous speech into voiced/unvoiced units is presented by using wavelet transform. The accuracy and the precision are improved by using proposed multi-threshold detector.
机译:基于其物理机制和语音浊音特征的增强,提出了一种基于小波变换的自动将汉语连续语音分割为语音浊音单元的新方法。通过使用提出的多阈值检测器可以提高精度和精度。

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