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Optimal Time-Domain Noise Reduction FiltersMultichannel Noise Reduction with a Filtering Vector

Optimal Time-Domain Noise Reduction Filters: Multichannel Noise Reduction with a Filtering Vector [In the previous two chapters, we exploited the temporal correlation information from a single microphone signal to derive different filtering vectors and matrices for noise reduction. In this chapter and the next one, we will exploit both the temporal and spatial information available from signals picked up by a determined number of microphones at different positions in the acoustics space in order to mitigate the noise effect. The focus of this chapter is on optimal filtering vectors.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Optimal Time-Domain Noise Reduction FiltersMultichannel Noise Reduction with a Filtering Vector

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Publisher
Springer Berlin Heidelberg
Copyright
© Jacob Benesty 2011
ISBN
978-3-642-19600-3
Pages
43 –59
DOI
10.1007/978-3-642-19601-0_4
Publisher site
See Chapter on Publisher Site

Abstract

[In the previous two chapters, we exploited the temporal correlation information from a single microphone signal to derive different filtering vectors and matrices for noise reduction. In this chapter and the next one, we will exploit both the temporal and spatial information available from signals picked up by a determined number of microphones at different positions in the acoustics space in order to mitigate the noise effect. The focus of this chapter is on optimal filtering vectors.]

Published: Apr 16, 2011

Keywords: Noise Reduction; Wiener Filter; Microphone Array; Speech Distortion; Reference Microphone

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