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A Speech Voiced/Unvoiced Classification Algorithm Based on the Band-partitioning Spectral Entropy and Teager Energy of Wavelet Transform
Author(s): 
Pages: 899-903
Year: Issue:  7
Journal: Journal of Beijing University of Technology

Keyword:  语音分类 小波变换 Teager能量 分带谱熵;
Abstract: 基于分带谱熵和小波域Teager能量提出了一种改进的语音清浊分类算法.该算法首先计算频域内的分带谱熵,然后在小波域计算不同频带的Teager能量,计算出低频能量所占的比例,通过这2个参数进行清浊判断.实验结果证明,由于分带谱熵能加深清浊音之间的差异,Teager能量能快速跟踪声门周期内信号能量的变化,因此该算法更容易提取浊音,在纯净语音和含噪语音上的性能都优于幅度能量算法.
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