VOICE ACTIVITY DETECTION UNDER RAYLEIGH DISTRIBUTION  

作　　者：Li Yu Chen Jianming Tan Hongzhou 

机构地区：[1]School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China

出　　处：《Journal of Electronics(China)》2009年第4期552-556,共5页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 60874060)

摘　　要：This paper presents an improved Voice Activity Detection （VAD） algorithm which uses the Signal-to-Noise Ratio （SNR） measure. We assume that noise Power Spectral Density （PSD） in each spectral bin follows a Rayleigh distribution. Rayleigh distributions with its asymmetric tail characteristics give a better description of the noise PSD distribution than Gaussian distribution. Under this asstlmption, a new threshold updating expression is derived. Since the analytical integral of the false alarm probability, the threshold updating expression can be represented without the inverse complementary error function and low computational complexity is achieved in our system. Experimental results show that the proposed VAD outperforms or at least is comparable with the VAD scheme presented by Davis under several noise environments and has a lower computational complexity.This paper presents an improved Voice Activity Detection (VAD) algorithm which uses the Signal-to-Noise Ratio (SNR) measure. We assume that noise Power Spectral Density (PSD) in each spectral bin follows a Rayleigh distribution. Rayleigh distributions with its asymmetric tail charac- teristics give a better description of the noise PSD distribution than Gaussian distribution. Under this assumption, a new threshold updating expression is derived. Since the analytical integral of the false alarm probability, the threshold updating expression can be represented without the inverse comple- mentary error function and low computational complexity is achieved in our system. Experimental results show that the proposed VAD outperforms or at least is comparable with the VAD scheme presented by Davis under several noise environments and has a lower computational complexity.

关 键 词：Statistical Voice Activity Detection （VAD） Threshold update Rayleigh distribution Computational complexity 

分 类 号：TN974[电子电信—信号与信息处理] H11[电子电信—信息与通信工程]