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

Alex Acero, S. Altschuler, and L. Wu

Abstract

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.

Details

Publication typeInproceedings
Published inProc. Int. Conf. on Spoken Language Processing
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