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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