Speech/Noise Separation Using Two Microphones and a VQ Model of Speech Signals

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.

2000-alexac-icslpa.pdf
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In  Proc. Int. Conf. on Spoken Language Processing

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