期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
A recursive calculating algorithm for higher-order cumulants over sliding window and its application in speech endpoint detection 被引量:5
1
作者 LUO Yaqin WU Xiaopei +2 位作者 L Zhao PENG Kui GUI Yajun 《Chinese Journal of Acoustics》 CSCD 2015年第4期436-449,共14页
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 propose... 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. 展开更多
关键词 A recursive calculating algorithm for higher-order cumulants over sliding window and its application in speech endpoint detection OVER
原文传递
Speech endpoint detection in low-SNRs environment based on perception spectrogram structure boundary parameter 被引量:9
2
作者 WU Di ZHAO Heming +4 位作者 HUANG Chengwei XIAO Zhongzhe ZHANG Xiaojun XU Yishen TAO Zhi 《Chinese Journal of Acoustics》 2014年第4期428-440,共13页
The Perception Spectrogram Structure Boundary(PSSB)parameter is proposed for speech endpoint detection as a preprocess of speech or speaker recognition.At first a hearing perception speech enhancement is carried out... The Perception Spectrogram Structure Boundary(PSSB)parameter is proposed for speech endpoint detection as a preprocess of speech or speaker recognition.At first a hearing perception speech enhancement is carried out.Then the two-dimensional enhancement is performed upon the sound spectrogram according to the difference between the determinacy distribution characteristic of speech and the random distribution characteristic of noise.Finally a decision for endpoint was made by the PSSB parameter.Experimental results show that,in a low SNR environment from-10 dB to 10 dB,the algorithm proposed in this paper may achieve higher accuracy than the extant endpoint detection algorithms.The detection accuracy of 75.2%can be reached even in the extremely low SNR at-10 dB.Therefore it is suitable for speech endpoint detection in low-SNRs environment. 展开更多
关键词 speech endpoint detection in low-SNRs environment based on perception spectrogram structure boundary parameter
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部