Title: A recursive calculating algorithm for higher-order cumulants over sliding window and its application in speech endpoint detection 

Author: LUO Yaqin WU Xiaopei Lv Zhao PENG Kui GUI Yajun 

Affiliation: The Key Laboratory of Intelligent Computing & Signal Processing, Anhui University 

Abstract: Regarding the performance of traditional endpoint detection algorithms degrades as the environment noise level increases,a recursive calculating algorithm for higher-order cumulants over a sliding window is proposed.Then it is applied to the speech endpoint detection.Furthermore,endpoint detection is carried out with the feature of energy.Experimental results show that both the computational efficiency and the robustness against noise of the proposed algorithm are improved remarkably compared with traditional algorithm.The average probability of correct point detection(Pc-point) of the proposed voice activity detection(VAD) is6.07%higher than that of G.729 b VAD in different noisy at different signal-noise ratios(SNRs) environments.