Multi-channel noise reduction in noisy environments

Authors:
Junfeng Li;Masato Akagi;Yôiti Suzuki
Affiliations:
Research Institute of Electrical Communication, Tohoku University, Sendai, Japan;School of Information Science, Japan Advanced Institute of Science and Technolgoy, Ishikawa, Japan;Research Institute of Electrical Communication, Tohoku University, Sendai, Japan
Venue:
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Year:
2006

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Abstract

Multi-channel noise reduction has been widely researched to reduce acoustic noise signals and to improve the performance of many speech applications in noisy environments. In this paper, we first introduce the state-of-the-art multi-channel noise reduction methods, especially beamforming based methods, and discuss their performance limitations. Subsequently, we present a multi-channel noise reduction system we are developing that consists of localized noise suppression by microphone array and non-localized noise suppression by post-filtering. Experimental results are also presented to show the benefits of our developed noise reduction system with respect to the traditional algorithms in terms of speech recognition rate. Some suggestions are finally presented for the further research.