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Estimation of the Noise Correlation Matrix
Delft University of Technology.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2011 (English)In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011Conference paper (Refereed)
Abstract [en]

To harvest the potential of multi-channel noise reduction methods, it is crucial to have an accurate estimate of the noise correlation matrix. Existing algorithms either assume speech absence and exploit a voice activity detector (VAD), or make use of additional assumptions like a diffuse noise field. Therefore, these algorithms are limited with respect to their tracking speed and the type of noise fields for which they can estimate the correlation matrix. In this paper we present a new method for noise correlation matrix estimation that makes no assumptions about the type of noise field, nor uses a VAD. The presented method exploits the existence of accurate single-channel noise PSD estimators, as well as the availability of one noise reference per microphone pair. For spatially and temporally non-stationary noise fields, the proposed method leads to improved performance compared to widely used state-of-the-art reference methods in terms of both segmental SNR and beamformer response error.

Place, publisher, year, edition, pages
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keyword [en]
multi-microphone, noise correlation matrix, Speech enhancement
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-42719DOI: 10.1109/ICASSP.2011.5947414ScopusID: 2-s2.0-80051611849ISBN: 978-1-4577-0537-3ISBN: 978-1-4577-0538-0OAI: diva2:447546
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011; Prague; 22 May 2011 through 27 May 2011
QC 20111117Available from: 2011-10-12 Created: 2011-10-12 Last updated: 2011-11-17Bibliographically approved

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Gerkmann, Timo
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