Réhaussement de la parole par la séparation de sources dans un mélange convolutif

Abstract
In this paper, we proposed a approach to the two-microphone speech enhancement problem based on the Blind Separation of Sources for convolutive mixtures. The separation of signals can be achieved by a recursive structure of adaptive filters FIR. The filter coefficients must be updated by using Higher Order Statistics in order to insure the output independence. Various adaptive algorithms based on different independence criteria are proposed to estimate the filters. The experimental results have been obtained for different types of signals in various situations of mixtures. For instance, using two microphones, the algorithms are able to separate two speech signals without any knowledge of the signals.