A New Method Based on Spectral Subtraction for the Suppression of Late Reverberation from Speech Signals
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K. Lebart, J.. M.. Boucher, and P.. N.. Denbigh, "A New Method Based on Spectral Subtraction for the Suppression of Late Reverberation from Speech Signals," Paper 4764, (1998 September.). doi:
K. Lebart, J.. M.. Boucher, and P.. N.. Denbigh, "A New Method Based on Spectral Subtraction for the Suppression of Late Reverberation from Speech Signals," Paper 4764, (1998 September.). doi:
Abstract: A new monaural method for the suppression of late room reverberation from speech signals, based on spectral subtraction, is presented. The problem of reverberation suppression differs from classical speech de-noising in that the -reverberation noise- is non-stationary. In this paper, the use of a novel estimator of the non-stationary reverberation noise power spectrum, based on a statistical model of late reverberation, is presented. Tests on real reverberated signals show that the proposed system yields significant reduction of reverberation together with little signal distortion.
@article{lebart1998a,
author={lebart, k. and boucher, j. m. and denbigh, p. n.},
journal={journal of the audio engineering society},
title={a new method based on spectral subtraction for the suppression of late reverberation from speech signals},
year={1998},
volume={},
number={},
pages={},
doi={},
month={september},}
@article{lebart1998a,
author={lebart, k. and boucher, j. m. and denbigh, p. n.},
journal={journal of the audio engineering society},
title={a new method based on spectral subtraction for the suppression of late reverberation from speech signals},
year={1998},
volume={},
number={},
pages={},
doi={},
month={september},
abstract={a new monaural method for the suppression of late room reverberation from speech signals, based on spectral subtraction, is presented. the problem of reverberation suppression differs from classical speech de-noising in that the -reverberation noise- is non-stationary. in this paper, the use of a novel estimator of the non-stationary reverberation noise power spectrum, based on a statistical model of late reverberation, is presented. tests on real reverberated signals show that the proposed system yields significant reduction of reverberation together with little signal distortion.},}
TY - paper
TI - A New Method Based on Spectral Subtraction for the Suppression of Late Reverberation from Speech Signals
SP -
EP -
AU - Lebart, K.
AU - Boucher, J. M.
AU - Denbigh, P. N.
PY - 1998
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 1998
TY - paper
TI - A New Method Based on Spectral Subtraction for the Suppression of Late Reverberation from Speech Signals
SP -
EP -
AU - Lebart, K.
AU - Boucher, J. M.
AU - Denbigh, P. N.
PY - 1998
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 1998
AB - A new monaural method for the suppression of late room reverberation from speech signals, based on spectral subtraction, is presented. The problem of reverberation suppression differs from classical speech de-noising in that the -reverberation noise- is non-stationary. In this paper, the use of a novel estimator of the non-stationary reverberation noise power spectrum, based on a statistical model of late reverberation, is presented. Tests on real reverberated signals show that the proposed system yields significant reduction of reverberation together with little signal distortion.
A new monaural method for the suppression of late room reverberation from speech signals, based on spectral subtraction, is presented. The problem of reverberation suppression differs from classical speech de-noising in that the -reverberation noise- is non-stationary. In this paper, the use of a novel estimator of the non-stationary reverberation noise power spectrum, based on a statistical model of late reverberation, is presented. Tests on real reverberated signals show that the proposed system yields significant reduction of reverberation together with little signal distortion.
Authors:
Lebart, K.; Boucher, J. M.; Denbigh, P. N.
Affiliation:
University Sussex, Brighton, England
AES Convention:
105 (September 1998)
Paper Number:
4764
Publication Date:
September 1, 1998Import into BibTeX
Subject:
Digital Signal Processing for Audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=8416