University of Graduation

B.Tech Term Project : Robust voice activity detection using perceptual wavelet-packet transform and Teager energy operator

Introduction: Voice activity detection (VAD) is used to distinguish speech from noise and is required in a variety of speech communication systems. Because the speech enhancement algorithm is to remove noise components from speech signals, it can be developed to solve the problem of VAD and vice-versa. An effective speech enhancement algorithm based on the wavelet-packet transform and the Teager energy operator has been proposed . In this letter, the WBTA method is further developed to construct a robust VAD algorithm. This developed VAD algorithm employs the perceptual wavelet-packet transform (PWPT), instead of the conventional wavelet-packet transform, to decompose the input speech signal into critical sub-band signals. Such a PWPT is designed to match the psychoacoustic model and to improve the performance of various wavelet-based speech processing systems, such as speech de-noising and speech coding