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TitleMultichannel Wiener filter estimation using source location knowledge for speech enhancement
Publication TypeConference Paper
Year of Publication2014
AuthorsAnderson, C.A., Teal P.D., and Poletti M.A.
Conference NameIEEE Workshop on Statistical Signal Processing Proceedings
Date Published2014
KeywordsAdaptive filtering, Adaptive filters, Beamforming, Multichannel Wiener filter, Noise statistics, Post-processor, Single channels, Source location, Speech enhancement, Speech recognition, Voice activity detection, Wiener filtering, WIENER filters
AbstractIn this paper a technique for estimating the single channel Wiener filter post-processor using two complementary adaptive near-field beamformers is presented as an alternative to voice activity detection for speech enhancement applications. Two near-field beamformers, the MVDR beamformer and an adaptive nullformer based on noise to signal maximisation, are used to generate estimates of signal and noise statistics which can be used to compute an estimate of the single channel Wiener filter for noise reduction. It is demonstrated that the performance of the estimated filter compares well with the perfect Wiener filtering case, and shows good improvement in speech intelligibility. © 2014 IEEE.

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