A new Geometrical ICA-based method for Blind Separation of Speech Signals.

Authors:
Manuel Rodriguez-Alvarez;Fernando Rojas;Elmar W. Lang;Ignacio Rojas
Affiliations:
Department of Architecture and Compuler Technology, University of Granada, Spain;Department of Architecture and Compuler Technology, University of Granada, Spain;Institute of Biophysics, University of Regensburg Germany, Germany;Department of Architecture and Compuler Technology, University of Granada, Spain
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

Citing 4
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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. In this work, the principles of the new method and a description of the algorithm are shown.