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Sixth International Conference on Spoken Language Processing
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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.
Bibliographic reference. Acero, Alex / Altschuler, Steven / Wu, Lani (2000): "Speech/noise separation using two microphones and a VQ model of speech signals", In ICSLP-2000, vol.4, 532-535.