%0 Journal Article
%T A Voice Activity Detection Method Based on Blind Source Separation for Microphone Array Signals<br>基于盲源分离理论的麦克风阵列信号有音/无音检测方法
%A Ma Xiao-hong
%A Liang Li-li
%A Yin Fu-liang
%A <br>马晓红
%A 梁丽丽
%A 殷福亮
%J 电子与信息学报
%D 2007
%I 
%X A Voice Activity Detection (VAD) method for microphone array signals in directional noise field is proposed. As the noises received by different microphones are correlated with each other in directional noise field, relatively pure speech can be derived from any two array signals by using Blind Source Separation (BSS) method. The generalized correlation method is used to estimate time delay between this relatively pure signal and every channel signals of microphone array. In the same time, a long-term speech information method is applied to the relatively pure speech signal to obtain its VAD result. Then this VAD result is used as reference to produce those of all array signals by the time shifting of it according to each time delay values. Simulation results illustrate the validity of the proposed method.
%K Voice Activity Detection(VAD)
%K Blind source separation
%K Time delay estimation
%K Generalized correlation
%K Fourth-order statistics(kurtosis)<br>有音/无音检测
%K 盲源分离
%K 时延估计
%K 广义互相关
%K 四阶统计量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=91822EB7F7D8F03A&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=4081E94A71AB3C30&eid=106103EB0EA31435&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=12