DocumentCode
572909
Title
Blind extraction of underdetermined mixtures using TF Mask
Author
Feng Gao ; Gongxian Sun ; Ming Xiao
Author_Institution
Coll. of Electrics & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
664
Lastpage
666
Abstract
For blind source recovery problem for underdetermined and non-completely sparse mixtures, BE-TF-Mask (Blind Extraction Based on Time Frequency Mask) algorithm is proposed in this paper. The algorithm combines blind extraction algorithm for the non-completely sparse case with the DUET approach. It computes firstly the extraction vector of source and the normal vector of source direction, and then rotates the mixtures and the mixing matrix using a linear transform, and then recovers the source using binary time-frequency mask method. Several speech signal experiments demonstrate its performance and practical.
Keywords
blind source separation; speech synthesis; BE-TFMask; DUET approach; TF mask; binary time-frequency mask method; blind extraction algorithm; blind source recovery problem; linear transform; speech signal experiments; underdetermined mixtures; Minimization; blind source extraction; rotation; time-frequency mask; underdetermined blind source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308941
Filename
6308941
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