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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. This work proposes 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 that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.
List of contents
Introduction.- Single-Channel Noise Reduction with a Filtering Vector.- Single-Channel Noise Reduction with a Rectangular Filtering Matrix.- Multichannel Noise Reduction with a Filtering Vector.- Multichannel Noise Reduction with a Rectangular Filtering Matrix.
Summary
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. This work proposes 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 that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.
Additional text
From the reviews:
“The book is devoted to the problem of recovering speech signals that are corrupted by additive noise. … The exposition is excellent. The authors work actively in the domain and recently issued also a book on microphone array signal processing. … the book represents a very useful guide to the noise reduction area for high-level researchers.” (Dumitru Stanomir, Zentralblatt MATH, Vol. 1218, 2011)
Report
From the reviews:
"The book is devoted to the problem of recovering speech signals that are corrupted by additive noise. ... The exposition is excellent. The authors work actively in the domain and recently issued also a book on microphone array signal processing. ... the book represents a very useful guide to the noise reduction area for high-level researchers." (Dumitru Stanomir, Zentralblatt MATH, Vol. 1218, 2011)
