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}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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