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Lattice ICA for the separation of speech signals

Alvarez, M. and Rojas, F. and Lang, Elmar W. and Rojas, I. and Puntonet, C. and Salmeron, M. (2004) Lattice ICA for the separation of speech signals. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, pp. 337-342.

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Other URL: http://www.dice.ucl.ac.be/esann/index.php?pg=esann04_programme


Abstract

This work explains a method for blind separation of a linear mixture of sources, through geometrical considerations concerning the scatter plot. This 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.


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Item Type:Book Section
Date:2004
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Dewey Decimal Classification:500 Science > 530 Physics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Deposited On:20 Mar 2007
Last Modified:22 Sep 2010 06:56
Item ID:1644
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