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作 者:LUO Yaqin WU Xiaopei L Zhao PENG Kui GUI Yajun
机构地区:[1]The Key Laboratory of Intelligent Computing & Signal Processing,Anhui University
出 处:《Chinese Journal of Acoustics》2015年第4期436-449,共14页声学学报(英文版)
基 金:supported by the National Natural Science Eoundation of China(61271352)
摘 要:Regarding the performance of traditional endpoint detection algorithms degrades as the environment noise level increases, a recursive calculating algorithm for higher-order cu- mulants 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 prob- ability of correct point detection (Pc-point) of the proposed voice activity detection (VAD) is 6.07% higher than that of G.729b VAD in different noisy at different signal-noise ratios (SNRs) environments.Regarding the performance of traditional endpoint detection algorithms degrades as the environment noise level increases, a recursive calculating algorithm for higher-order cu- mulants 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 prob- ability of correct point detection (Pc-point) of the proposed voice activity detection (VAD) is 6.07% higher than that of G.729b VAD in different noisy at different signal-noise ratios (SNRs) environments.
关 键 词:A recursive calculating algorithm for higher-order cumulants over sliding window and its application in speech endpoint detection OVER
分 类 号:TN912.3[电子电信—通信与信息系统]
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