In this paper we address the problem of using two or more
microphones to enhance speech corrupted by nonstationary
noise, such as that of a competing speaker (cocktail party
effect) at very low SNR, by means of linear filtering of two
microphone signals. This work is a variant to the probabilistic
Independent Component Analysis (ICA) method but using a
more accurate probability distribution of the speech signal
based on a mixture Autoregressive model. Comparison with
other algorithms on published real recordings shows more
separation than with previously existing ICA algorithms.