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.