A blind channel identification-based two-stage approach to separation and dereverberation of speech signals in a reverberant environment

IEEE Transactions on Speech and Audio Processing

Volumn 13, Issue 5, 2005, Pages 882-894

  Huang, Yiteng ^a,b   Benesty, Jacob ^a,c   Chen, Jingdong ^a,b  

^a IEEE   (United States)

^b LUCENT TECHNOLOGIES   (United States)

^c UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

Author keywords

Bezout theorem; Blind channel identification (BCI); Blind source separation (BSS); Independent component analysis (ICA); Multiple input multiple output (MIMO) systems; Single input multiple output (SIMO) systems; Speech dereverberation

Indexed keywords

BEZOUT THEOREM; BLIND CHANNEL IDENTIFICATION (BCI); INDEPENDENT COMPONENT ANALYSIS (ICA); MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) SYSTEM; SINGLE-INPUT MULTIPLE-OUTPUT (SIMO) SYSTEM; SPEECH DEREVERBERATION;

BLIND SOURCE SEPARATION; COMPUTER SIMULATION; CONVOLUTION; SIGNAL INTERFERENCE; SPEECH; SPEECH SYNTHESIS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 27644537675     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.851941     Document Type: Article

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