%0 Journal Article
%T Joint algorithm for permutation problem in frequency-domain blind speech source separation<br>联合频域盲语音分离排序算法
%A ZHU Jian-jian
%A WANG Hui-gang
%A LI Hu-xiong
%A <br>朱坚坚
%A 王惠刚
%A 李虎雄
%J 计算机应用
%D 2008
%I 
%X A new method for solving the permutation problem in the frequency-domain Blind Source Separation (BSS) was presented. This new method divided the whole frequency-domain into three sections and applied different permutation algorithms to different sections. The neighboring frequency correlation and harmonic frequency correlation coefficient of signal amplitudes were used together for the low-frequency section, the direction of arrival estimation for speech sources for the mid-frequency section, and the combination of correlation coefficient comparison and direction estimation for the high-frequency section, respectively. Experimental results show that the new method provides a more robust and precise solution to the permutation problem than the algorithm only with interfrequency correlation coefficient of signal amplitudes or only with direction of arrival estimation for sources.
%K blind source separation
%K permutation problem
%K direction of arrival estimation<br>盲源分离
%K 排序模糊性
%K 方位估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14F8CA45AEE949406031FE71898C1AD6&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=857646F4875EA11E&eid=EE882EEBF9236453&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=9