Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Optimal Time-Domain Noise Reduction FiltersIntroduction

Optimal Time-Domain Noise Reduction Filters: Introduction [Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. In this work, we propose a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Optimal Time-Domain Noise Reduction FiltersIntroduction

Loading next page...
 
/lp/springer-journals/optimal-time-domain-noise-reduction-filters-introduction-roLvN4w0aT
Publisher
Springer Berlin Heidelberg
Copyright
© Jacob Benesty 2011
ISBN
978-3-642-19600-3
Pages
1 –2
DOI
10.1007/978-3-642-19601-0_1
Publisher site
See Chapter on Publisher Site

Abstract

[Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. In this work, we propose a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.]

Published: Apr 16, 2011

Keywords: Speech Signal; Noise Reduction; Additive Noise; Speech Enhancement; Clean Speech

There are no references for this article.