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Multi-channel Noise Reduction in Noisy Environments.

Authors :
Li, Junfeng
Akagi, Masato
Suzuki, Yôiti
Source :
Chinese Spoken Language Processing; 2006, p258-269, 12p
Publication Year :
2006

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540496656
Database :
Complementary Index
Journal :
Chinese Spoken Language Processing
Publication Type :
Book
Accession number :
76802412
Full Text :
https://doi.org/10.1007/11939993_30