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基于小波能量熵的语音端点检测算法 被引量：5

AN ALGORITHM OF VOICE ENDPOINT DETECTION BASED ON WAVELET ENERGY ENTROPY
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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。 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.
作者 邱文武 蒋建中 郭军利
机构地区 解放军信息工程大学
出处 《计算机应用与软件》 CSCD 2011年第2期227-228,259,共3页 Computer Applications and Software
关键词 端点检测 能量熵 小波能量 小波熵 Voice endpoint detection（VED） Energy entropy Wavelet energy Wavelet entropy
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献12

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共引文献90

同被引文献40

  • 1王晓亚,鲁玉海.语音的端点检测处理技术[J].无线电工程,2010,40(2):16-18. 被引量：7
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  • 4江官星,王建英.一种改进的检测语音端点的方法[J].微计算机信息,2006,22(05S):138-139. 被引量：27
  • 5李凯,徐强樯,左万利.基于分形特征变化的语音端点检测技术研究[J].小型微型计算机系统,2007,28(8):1523-1526. 被引量：4
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引证文献5

二级引证文献29

计算机应用与软件
2011年 第2期

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