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小波变分辨率频谱特征静音检测和短时自适应混音算法
引用本文:薛卫,都思丹,叶迎宪. 小波变分辨率频谱特征静音检测和短时自适应混音算法[J]. 计算机科学, 2009, 36(7): 211-214
作者姓名:薛卫  都思丹  叶迎宪
作者单位:南京农业大学计算机系,南京,210002;南京大学电子科学与工程系,南京,210093
摘    要:静音检测算法使用两种语音感觉特征与变分辨率频谱的Mel频率倒谱系数组合成音频特征,采用多门限过零率对静音进行初判,并通过二分类支持向量机对组合语音特征进行分类;实时混音算法使用每一路音频的短时能量作为混音权重.测试表明,静音检测算法在不同信噪比下语音识别正确率高于G.729b静音检测算法;实时混音算法听觉测试优于传统的算法,并且混音计算延时低,满足网络实时传输的要求;两种算法同时应用于视频会议系统,视频会议服务器的运算量低于使用了G.729b静音检测算法的视频系统.

关 键 词:静音检测  小波  支持向量机  短时自适应权重
收稿时间:2008-08-29
修稿时间:2009-01-08

Voice Activity Detection Using Wavelets Multiresolution Spectrum and Short-time Adaptive Audio Mixing Algorithm
XUE Wei,DU Si-dan,YE Ying-xian. Voice Activity Detection Using Wavelets Multiresolution Spectrum and Short-time Adaptive Audio Mixing Algorithm[J]. Computer Science, 2009, 36(7): 211-214
Authors:XUE Wei  DU Si-dan  YE Ying-xian
Affiliation:Department of Science and Technology;Nanjing Agricultural University;Nanjing 210002;China;Department of Electronics Science and Engineering;Nanjing University;Nanjing 210093;China
Abstract:The proposed VAD uses MFCC of multiresolution spectrum and two classical audio parameters as audio feature,and prejudges silence by detection of multi-gate zero cross ratio,and classifies noise and voice by Support Vector Machines.New speech mixing algorithm used in Multipoint Control Unit(MCU) of conferences imposed short-time power of each audio stream as mixing weight vector,and was designed for parallel processing in program.Various experiments show,proposed VAD algorithm achieves overall better perform...
Keywords:Voice activity detection  Wavelet  SVM  Short-time adaptive weighted  
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