%0 Journal Article
%T Audio source separation based on Hilbert-Huang transform<br>基于Hilbert-Huang变换的语音信号分离
%A ZHANG Chao-zhu
%A ZHANG Jian-pei
%A SUN Xiao-dong
%A <br>张朝柱
%A 张健沛
%A 孙晓东
%J 计算机应用
%D 2009
%I 
%X The energy frequency distribution of non-stationary signal could not be got correctly with short-time Fourier transform. A new method was proposed to separate the audio sources from a single mixture based on Hilbert-Huang transform. Hilbert transform combined with Intrinsic Mode Functions (IMFs) constituted Hilbert Spectrum (HS) of mixture, which was a time-frequency representation of a non-stationary signal. The HS of mixture was used to derive the independent source subspaces. The time domain source signals were reconstructed by applying the inverse transformation. The simulated results show that the proposed method is efficient and improves the separation performance. It was observed that HS-based TF representation performed better than using STFT.
%K Hilbert-Huang transform
%K Empirical mode decomposition (EMD)
%K independent subspace analysis (ISA)
%K C_means<br>Hilbert-Huang变换
%K 内在模式分解
%K 独立子空间分析
%K C-均值算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=F817427696EABED3322EDBE01C750ECA&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=0DEB7A8A66C33AAD&eid=560346D04F8666DF&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=6