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Incorporating multi-channel Wiener Filter with single-channel speech enhancement algorithm 2013

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Authors
Yong, Pei Chee
Nordholm, Sven
Dam, Hai Huyen
Leung, Yee-Hong
Lai, Chiong Ching
Date
2013
Type
Conference Paper

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Yong, Pei Chee and Nordholm, Sven and Dam, Hai Huyen and Leung, Yee Hong and Lai, Chiong Ching. 2013. Incorporating multi-channel Wiener Filter with single-channel speech enhancement algorithm 2013, in International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 26-31 2013, pp. 7284-7288. Vancouver, Canada: The Institute of Electrical and Electronic Engineers.
Source Title
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Source Conference
IEEE International Conference on Acoustics, Speech and Signal Processing
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Abstract

The real-time implementation of the existing multi-channel Wiener filter (MWF) algorithms suffer from performance degradation due to the lack of robustness against estimation errors of the second-order statistics. The reasons are twofold: one, the estimation of the statistics relies on real voice activity detector (VAD), which often fails in adverse environments. Second, the MWF solutions involve estimation of the second order clean speech statistics, which also exaggerates the errors. This paper presents an MWF algorithm that requires neither VAD nor clean speech statistics. Performance evaluation under real scenarios shows that the proposed method outperforms the conventional MWF solution in terms of the trade-off between noise reduction and speech distortion.