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基于小波包变换的自适应门限的语音激活检测
引用本文:陈明义,李微,黎华. 基于小波包变换的自适应门限的语音激活检测[J]. 计算机仿真, 2009, 26(3)
作者姓名:陈明义  李微  黎华
作者单位:中南大学信息科学与工程学院,湖南,长沙,410083
摘    要:语音激活检测是语音信号处理的一个重要环节.在低信噪比的情况下,传统的检测方法已不适用.为了提高语音激活检测的性能和鲁棒性,针对主要由白噪声组成的噪声背景,提出了一种基于小波包变换的自适应门限的语音激活检测方法(VAD),它将语音信号进行小波包变换,得到各个子带信号,符个子带信号通过Teager能量算子(TEO)将有声部分强化,同时衰减无声部分,最后进行自适应门限判决.实验结果表明在低信噪比的情况下,算法能够正确判别语音段和噪声段.

关 键 词:语音激活检测  小波包变换  自适应门限

Voice Activity Detection Based on Wavelet Packet Transform and Adaptive Threshold
CHEN Ming-yi,LI Wei,LI Hua. Voice Activity Detection Based on Wavelet Packet Transform and Adaptive Threshold[J]. Computer Simulation, 2009, 26(3)
Authors:CHEN Ming-yi  LI Wei  LI Hua
Affiliation:School of Information Science and Engineering;Central South University;Changsha Hunan 410083;China
Abstract:Voice activity detection is a crucial part in speech processing.Some traditional detection methods are ineffective in low SNR.To improve the performance and robustness,a new voice activity detection algorithm based on wavelet packet transform and adaptive threshold is proposed for the situation with white noise environment.The critical sub-band signals are obtained by wavelet packet transform,then smoothing the TEO of corresponding wavelet coefficients to enhance the discrimination capability of speech comp...
Keywords:Voice activity detection  Wavelet packet transform  Adaptive threshold  
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