DocumentCode
474402
Title
A general framework for extending classic array processing techniques to the underdetermined blind source separation problem
Author
Melia, Thomas ; Rickard, Scott
Author_Institution
Sparse Signal Process. Group, Univ. Coll. Dublin, Dublin
fYear
2007
fDate
12-15 Feb. 2007
Firstpage
1
Lastpage
4
Abstract
The underdetermined blind source separation problem is the one of separating a large number of sources using a smaller number of mixtures. The DUET algorithm presents a solution to the underdetermined blind source separation problem, demixing an arbitrary number of speech signals from only 2 anechoic mixtures of them. Here the DUET method is presented as a general framework for extending classic array processing methods to the underdetermined blind source separation problem.
Keywords
array signal processing; blind source separation; speech processing; DUET algorithm; anechoic mixtures; array processing techniques; blind source separation problem; speech signals; Array signal processing; Blind source separation; Direction of arrival estimation; Parameter estimation; Sensor arrays; Signal processing algorithms; Source separation; Speech; Tin; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location
Sharjah
Print_ISBN
978-1-4244-0778-1
Electronic_ISBN
978-1-4244-1779-8
Type
conf
DOI
10.1109/ISSPA.2007.4555341
Filename
4555341
Link To Document