Blind Separation of Speech Signals Based on a Lattice-Ica 
Geometric Procedure 


Manuel Rodríguez-Álvarez 1, Fernando Rojas1, Carlos G. Puntonet1 , Ali Mansour2 

1 Departament of Architecture and Computer Technology. University of Granada 
(Spain) 

2 ENSIETA, 2 Rue Francois Verny 29806 Brest, France 



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 are 
shown. Finally, we illustrate with simulations of several 
source distributions how the algorithm performs.