%0 Journal Article
%T Separation of mixed speeches based on FastICA algorithm
基于快速ICA的混合语音信号分离
%A ZHONG Jing
%A FU Yan
%A
钟静
%A 傅彦
%J 计算机应用
%D 2006
%I
%X The principle and algorithms of independent component analysis(ICA) was illustrated. Considering the diversity of the sound, which kept only comparatively independence in the source signal and using the idea of blind signal separating, the FastICA algorithms in sound separation was tried. Finally, two sounds were tested and some good results were got.
%K FastICA
独立分量分析
%K 语音分离
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9D805E5002FFAA06&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=9C76A7541E963918&eid=F88EF6DD822B0FF5&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5