Optimal Time-Domain Noise Reduction Filters
A Theoretical Study
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Beschreibung
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.
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.
Proposes a general framework in the time domain for the single and multiple microphone cases All known algorithms can be deduced from this new approach Includes supplementary material: sn.pub/extras
Autor*in
Jacob Benesty
Themen in »Optimal Time-Domain Noise Reduction Filters«
LCMV filter MDVR filter Wiener filter maximun SNR filter microphone arrays multichannel noise reduction prediction filter single-channel space-time prediction filter speech enhancement time domain tradeoff filter
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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)()