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Nondiagonal Estimation Techniques for Noise Reduction in Audio Signal

Published on March 2012 by A.B.Deshmukh, C.S.Khandelwal, M. T. Kolate
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International Conference in Computational Intelligence
Foundation of Computer Science USA
ICCIA - Number 5
March 2012
Authors: A.B.Deshmukh, C.S.Khandelwal, M. T. Kolate
f75536dd-3eff-48d4-9cc4-82673417bd2e

A.B.Deshmukh, C.S.Khandelwal, M. T. Kolate . Nondiagonal Estimation Techniques for Noise Reduction in Audio Signal. International Conference in Computational Intelligence. ICCIA, 5 (March 2012), 11-15.

@article{
author = { A.B.Deshmukh, C.S.Khandelwal, M. T. Kolate },
title = { Nondiagonal Estimation Techniques for Noise Reduction in Audio Signal },
journal = { International Conference in Computational Intelligence },
issue_date = { March 2012 },
volume = { ICCIA },
number = { 5 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 11-15 },
numpages = 5,
url = { /proceedings/iccia/number5/5122-1034/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Computational Intelligence
%A A.B.Deshmukh
%A C.S.Khandelwal
%A M. T. Kolate
%T Nondiagonal Estimation Techniques for Noise Reduction in Audio Signal
%J International Conference in Computational Intelligence
%@ 0975-8887
%V ICCIA
%N 5
%P 11-15
%D 2012
%I International Journal of Computer Applications
Abstract

This paper describes about to reduce the musical noise by diagonal and non-diagonal estimation procedures in time-frequency domain to achieve better SNR of the musical noise signal. State of the art algorithms parameterized filtering of spectrogram coefficients with empirically fixed parameters. A block thresholding estimation procedure is introduced, which adjust all parameters adaptively to signal property by minimizing stein estimation of the risk. The resulting algorithm is robust to variations of signal structures such as short transients and long harmonics.

References
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  7. R. M. Gray, A. Buzo, A. H. Gray, Jr., and Y. Matsuyama, “Distortion measures for speech processing,”IEEETrans.Acoust,,Speech,Signal processing, vol. ASSP-28, pp. 367-376, Aug. 1980.
Index Terms

Computer Science
Information Sciences

Keywords

Audio denoising block thresholding Power spectrum Power subtraction thresholding