Blind speech separation combining DOA estimation and assignment problem approaches

Author(s):  
Vuong Hoang Nam ◽  
Nguyen Quoc Trung ◽  
Tran Hoai Linh
Author(s):  
Vuong Hoang Nam ◽  
Nguyen Quoc Trung ◽  
Tran Hoai Linh

In this paper, we propose a method for blind speech separation of convolutive mixtures in the frequency domain. The main difficulty in a frequency approach is the so-called permutation problem. In the proposed method, we use the Assignment Problem (AP) approach to solve permuation ambiguity in the frequency domain. In our work, we apply three different algorithms including Hugarian, Jonker-Volgenant and Bertsekas’s Auction to solve the AP to find the optimal solution. Computer simulation experiments are presented to illustrate the proposed method.


2013 ◽  
Vol E96.B (5) ◽  
pp. 1215-1217 ◽  
Author(s):  
Ann-Chen CHANG ◽  
Chih-Chang SHEN

PIERS Online ◽  
2007 ◽  
Vol 3 (8) ◽  
pp. 1160-1164 ◽  
Author(s):  
Konstantinos A. Gotsis ◽  
E. G. Vaitsopoulos ◽  
Katherine Siakavara ◽  
J. N. Sahalos

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