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
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;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6308941