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基于小波能量熵的语音端点检测算法
引用本文:邱文武,蒋建中,郭军利.基于小波能量熵的语音端点检测算法[J].计算机应用与软件,2011,28(2):227-228,259.
作者姓名:邱文武  蒋建中  郭军利
作者单位:解放军信息工程大学,河南,郑州,450002
摘    要:首先对语音信号进行小波变换,引入反映信号能量分布特性的小波熵,进行端点检测.并根据浊音的特点,改进了自然加权因子.仿真表明,在低信噪比条件下其检测效果要好于自适应子带谱熵法.

关 键 词:端点检测  能量熵  小波能量  小波熵

AN ALGORITHM OF VOICE ENDPOINT DETECTION BASED ON WAVELET ENERGY ENTROPY
Qiu Wenwu,Jiang Jianzhong,Guo Junli.AN ALGORITHM OF VOICE ENDPOINT DETECTION BASED ON WAVELET ENERGY ENTROPY[J].Computer Applications and Software,2011,28(2):227-228,259.
Authors:Qiu Wenwu  Jiang Jianzhong  Guo Junli
Affiliation:Qiu Wenwu Jiang Jianzhong Guo Junli(PLA Information Engineering University,Zhengzhou 450002,Henan,China)
Abstract:First,the wavelet transformation is used on vocal signals.Then the wavelet entropy reflecting energy distributing characteristics of the signal is introduced for detecting the point.Finally,the natural weighting factor is improved based on the characteristic of sonant sound.Simulation results indicate that the new algorithm outperforms the adaptive band-partitioning spectral entropy-voice activity detection(BSE-VAD) in detection result in condition of low signal-to-noise ratio.
Keywords:Voice endpoint detection(VED) Energy entropy Wavelet energy Wavelet entropy  
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