文章摘要
李英,方杰.一种基于相对自相关序列的语音端点检测法[J].声学技术,2006,(3):230~234
一种基于相对自相关序列的语音端点检测法
Speech endpoint detection based on relative autocorrelation sequences
投稿时间:2005-04-08  修订日期:2005-06-30
DOI:
中文关键词: 单边自相关序列  相对自相关序列  双门限比较法  语音端点检测
英文关键词: one-sided autocorrelation sequences  relative autocorrelation sequences  double-threshold comparison  speech endpoint detection
基金项目:
作者单位
李英 江南大学通信与控制工程学院, 无锡, 214122 
方杰 江南大学通信与控制工程学院, 无锡, 214122 
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中文摘要:
      在研究单边自相关序列(One-sided autocorrelation,OSA)和相对自相关序列(Relative autocorrelation sequences,RAS)的基础上,提出了一种基于相对自相关序列的语音信号的端点检测算法。该方法利用相对自相关算法能够消除噪声的原理,以语音信号相对自相关序列短时平均幅度代替双门限比较法中的语音信号短时平均幅度,以语音信号短时平均幅度代替语音信号的短时平均过门限率,实验表明,在低信噪比下检测精度要高于传统的双门限比较法。
英文摘要:
      In this paper,one-sided autocorrelation(OSA) and relative autocorrelation sequences(RAS) are studied,and a new algorithm of endpoint detection based on RAS is proposed.As relative autocor-relation has denoising capability,short-time average magnitude of speech signal in double-threshold com-parison is replaced with short-time average magnitude of its RAS,and the short-time average magnitude is substituted for short-time average threshold-crossing rate.Experiments show that the accuracy of endpoint detection is considerably higher than that obtained with the conventional method of double threshold comparison.
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