%0 Journal Article
%T Usage of blind source separation in single channel speech enhancement algorithm<br>盲源分离在单通道语音增强算法中的应用
%A MA Jian-fen
%A LI Hong-yan
%A ZHANG Xue-ying
%A WANG Hua-kui
%A <br>马建芬
%A 李鸿燕
%A 张雪英
%A 王华奎
%J 计算机应用
%D 2006
%I 
%X A new single channel speech enhancement algorithm was put forward. A pseudo noise source was used as the input of the multiple adaptive decorrelation (MAD) algorithm to get an improved speech signal. Moreover, Daubechies wavelet was adapted to transform the signal into wavelet domain. Proper threshold function was used to select wavelet coefficients, and then the signal into time domain was synthesized. Following the scheme provided above, we can get the speech signal with higher SNR and intelligibility.
%K speech enhancement
%K blind source separation
%K wavelet transform<br>语音增强
%K 盲源分离
%K 小波变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=C93B277FFA221220&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=708DD6B15D2464E8&sid=B6DD4ADC7017C1DB&eid=6A318E74358630E6&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5