DocumentCode :
705166
Title :
A two-stage multichannel acoustic noise reduction under reverberant environments
Author :
Togami, Masahito ; Kawaguchi, Yohei
Author_Institution :
Central Res. Lab., Hitachi Ltd., Kokubunji, Japan
fYear :
2010
fDate :
23-27 Aug. 2010
Firstpage :
726
Lastpage :
730
Abstract :
In this paper, there are two contributions for multichannel noise reduction techniques under reverberant environments. The first contribution is a theoretical analysis of previously proposed multichannel spatial prediction based noise reduction technique (MSP-BF), and discussion about the relationship between MSP-BF and MWF. In MSP-BF, noise sources can be reduced effectively at the first stage by multichannel spatial filtering. The desired sources are distorted after the first stage. The distortion of the desired sources are restored at the second stage by multichannel distortion-restoration filtering. The advantageous point of MSP-BF is that this method can reduce noise sources without the steering vectors of the desired sources. However, there is not a sufficient theoretical analysis in the previous paper. The second contribution is that an alternative noise reduction technique based on the subspace filtering at the first stage, NSR-BF, is proposed. The experimental result under a reverberant environment is shown.
Keywords :
acoustic noise measurement; reverberation; spatial filters; MSP-BF; multichannel distortion restoration filtering; multichannel spatial filtering; multichannel spatial prediction based noise reduction technique; noise reduction technique; noise sources; reverberant environment; reverberant environments; steering vectors; subspace filtering; two stage multichannel acoustic noise reduction; Array signal processing; Distortion; Mel frequency cepstral coefficient; Microphones; Noise reduction; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2010 18th European
Conference_Location :
Aalborg
ISSN :
2219-5491
Type :
conf
Filename :
7096439
Link To Document :
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