语音端点检测的仿真研究  

Simulation of Speech Endpoint Detection

作　　者：刘晓明[1] 覃胜[2] 刘宗行[1] 江泽佳[2] 

机构地区：[1]重庆大学通信工程学院 [2]重庆大学电气工程学院

出　　处：《系统仿真学报》2005年第8期1974-1976,共3页Journal of System Simulation

基　　金：国家创新基金(00C26215111326)

摘　　要：语音端点检测在语音处理中占有十分重要的地位。介绍了短时平均能量法、短时平均过零率法和短时能零积法三种语音端点检测法。在低信噪比环境下,利用上述方法进行语音端点检测,检测效果将大大降低。功率谱减法是一种传统的降噪方法。但是功率谱减法采用固定的无音片段作为噪声样本容易引起误差。为此,笔者综合短时能零积法和功率谱减法,提出了加权功率谱减法,并用于语音端点检测。详细地给出了加权功率谱减法的实现步骤。实验结果表明该方法具有良好的性能。Speech endpoint detection is very important in speech processing. Short-time average energy, short-time average zero-crossing rate and short-time energy-zero-product are introduced. Detect effect will be much lower with these methods in low signal noise ratio environment. Power spectral subtraction is a traditional method for decreasing noise which easily leads to error by regard fixed silence fragment as noise sample. For the purpose, short-time energy-zero-product with power spectral subtraction was synthesized, and then a weighted power spectral subtraction was proposed for speech endpoint detection. The implementation procedure was given in detail. The experiment result shows that the method has better performance.

关 键 词：语音端点检测 短时能零积 闽值 加权功率谱减法 

分 类 号：TN912.3[电子电信—通信与信息系统]