基于小波分析的语音端点检测方法研究

摘要

In order to increase the accuracy of speech endpoint detection, the speech endpoint detection method based on wavelet analysis is proposed. On the basis of traditional endpoint detection methods based on energy and zero crossing rate, each sub-band energy of speech signal is calculated by the wavelet analysis, then the variance is seeked and as the third threshold. The signal is detected by three threshold. Simulation experiment shows that this method is more effective and more superior than traditional methods, which could comparative accuratly detect speech signal.%为了提高语音信号端点检测的准确率,提出了基于小波分析的端点检测方法.该方法在传统基于能量和过零率的端点检测方法基础上,通过小波分析计算语音信号各子带能量,进而求得其方差作为第三道门限,对信号进行三级门限检测.仿真实验表明,该方法比传统方法更有效、更优越,能够比较准确地检测语音信号.