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Spectral attenuation algorithms for audio noise reduction often generate annoying musical noise artifacts. Most existing methods for suppression of musical noise employ a combination of instantaneous and time-smoothed spectral estimates for calculation of spectral gains. In this paper, a 2D approach to the filtering of a time-frequency spectrum is proposed, based on a recently developed Non-Local Means image denoising algorithm. The proposed algorithm demonstrates efficient reduction of musical noise, without creating “noise echoes” artifacts inherent in time-smoothing methods.
Author (s): Lukin, Alexey;
Todd, Jeremy;
Affiliation:
Moscow State University; iZotope, Inc.
(See document for exact affiliation information.)
AES Convention: 123
Paper Number:7168
Publication Date:
2007-10-06
Session subject:
Signal Processing
DOI:
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Lukin, Alexey; Todd, Jeremy; 2007; Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering [PDF]; Moscow State University; iZotope, Inc.; Paper 7168; Available from: https://aes.org/publications/elibrary-page/?id=14226
Lukin, Alexey; Todd, Jeremy; Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering [PDF]; Moscow State University; iZotope, Inc.; Paper 7168; 2007 Available: https://aes.org/publications/elibrary-page/?id=14226
@inproceedings{Lukin2007suppression,
title={{Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering}},
author={Lukin, Alexey and Todd, Jeremy},
year={2007},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7168; AES Convention 123; October 2007},
number={7168},
organization={AES},
}
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