New Geometric ICA Method for Separation of Speech Signals

M. Rodríguez-Álvarez, F. Rojas, I. Rojas, and C.G. Puntonet (Spain)

Keywords

Independent Component Analysis, Blind Source Separation, Geometric Methods.

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.

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