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Microphone Array Post-filter based on Noise Field Coherence
Type of publication: Journal paper
Citation: mccowan-rr-01-40b
Journal: IEEE Transactions on Speech and Audio Processing
Volume: 11
Number: 6
Year: 2003
Month: 11
Note: IDIAP-RR 01-40
Crossref: mccowan-rr-01-40:
Abstract: This article introduces a novel technique for estimating the signal power spectral density to be used in the transfer function of a microphone array post-filter. The technique is a generalisation of the existing Zelinski post-filter, which uses the auto- and cross-spectral densities of the array inputs to estimate the signal and noise spectral densities. The Zelinski technique, however, assumes zero cross-correlation between the noise on different sensors. This assumption is inaccurate, particularly at low frequencies and for arrays with closely spaced sensors, and thus the corresponding post-filter is sub-optimal in realistic noise conditions. In this article, a more general expression of the post-filter estimation is developed based on an assumed knowledge of the complex coherence of the noise field. This general expression can be used to construct a more appropriate post-filter in a variety of different noise fields. In experiments using real noise recordings from a computer office, the modified post-filter results in significant improvement in terms of objective speech quality measures and speech recognition performance using a diffuse noise model.
Userfields: ipdinar={2001}, ipdmembership={speech}, language={English},
Projects Idiap
Authors McCowan, Iain A.
Bourlard, Hervé
Added by: [UNK]
Total mark: 0
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