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.