Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering
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A. Lukin, and J. Todd, "Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering," Paper 7168, (2007 October.). doi:
A. Lukin, and J. Todd, "Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering," Paper 7168, (2007 October.). doi:
Abstract: 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.
@article{lukin2007suppression,
author={lukin, alexey and todd, jeremy},
journal={journal of the audio engineering society},
title={suppression of musical noise artifacts in audio noise reduction by adaptive 2-d filtering},
year={2007},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{lukin2007suppression,
author={lukin, alexey and todd, jeremy},
journal={journal of the audio engineering society},
title={suppression of musical noise artifacts in audio noise reduction by adaptive 2-d filtering},
year={2007},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}
TY - paper
TI - Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering
SP -
EP -
AU - Lukin, Alexey
AU - Todd, Jeremy
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2007
TY - paper
TI - Suppression of Musical Noise Artifacts in Audio Noise Reduction by Adaptive 2-D Filtering
SP -
EP -
AU - Lukin, Alexey
AU - Todd, Jeremy
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2007
AB - 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.
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.
Authors:
Lukin, Alexey; Todd, Jeremy
Affiliations:
Moscow State University; iZotope, Inc.(See document for exact affiliation information.)
AES Convention:
123 (October 2007)
Paper Number:
7168
Publication Date:
October 1, 2007Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14226