多特征相结合的带噪语音端点检测算法的研究  

Study on endpoint detection based on multi-characteristic jointed in noisy environment

作　　者：张君昌[1] 姜菲[1] 刘红[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《计算机工程与应用》2009年第32期114-116,共3页Computer Engineering and Applications

摘　　要：提出了一种抗噪声的端点检测新方法。针对谱熵特征对清音的检测性能以及抗噪声性能较差的缺点,结合对清音检测性能较好的短时过零率特征,以及抗噪声性能良好的美尔倒谱距离特征,实现了基于多种特征相结合的抗噪声的语音端点检测。仿真实验表明,该方法能显著提高端点检测在高噪声环境下的检测性能。This paper proposes a new method of speech endpoint detection in high noisy environment.In order to solve the problem of the less effective detection of surd and the poor anti-noise performance in spectrum entropy characteristic,this paper combines short-time ZCR characteristic which has a better detection of surd with Mel cepstral distance characteristic which has a good anti-noise performance to realize the endpoint detection based on multi-characteristics in high noise environment.The simulation shows that the new method can significantly improve the detection performance in high noise environment.

关 键 词：高噪声 美尔倒谱距离 谱熵 短时过零率 端点检测 

分 类 号：TN912.3[电子电信—通信与信息系统]