DocumentCode :
1859522
Title :
Blind source separation of speech signals based on an ICA geometric procedure
Author :
Rodríguez-Álvarez, M. ; Rojas, F. ; Salmerón, M. ; Rojas, I. ; Ros, E. ; Puntonet, C.G.
Author_Institution :
Dept. of Archit. & Comput. Technol., Granada Univ., Spain
Volume :
2
fYear :
2003
fDate :
2-5 July 2003
Firstpage :
631
Abstract :
This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. The principles of the new method and a description of the algorithm followed by some speed enhancements and simulations are shown.
Keywords :
blind source separation; independent component analysis; speech processing; blind source separation; geometric procedure; independent component analysis; observation space; source linear mixture; speech signal; speed enhancement; unknown mixture matrix estimated coefficient; Blind source separation; Independent component analysis; Lattices; Sensor phenomena and characterization; Signal processing; Source separation; Space technology; Speech; Stochastic processes; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on
Print_ISBN :
953-184-054-7
Type :
conf
DOI :
10.1109/VIPMC.2003.1220534
Filename :
1220534
Link To Document :
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