Employing noise masking threshold (NMT) to adapt a speech enhancement system has become popular due to the advantage of rendering the residual noise to perceptually white. Most methods employ the NMT to empirically adjust the parameters of a speech enhancement system according to the various properties of noise. In this article, without any predefined empirical factor, an explicit-form gain factor for a frequency bin is derived by perceptually constraining the residual noise below the NMT in spectral domain. This perceptual constraint preserves the spectrum of noisy speech when the level of residual noise is less than the NMT. If the level of residual noise exceeds the NMT, then the spectrum of noisy speech is suppressed to reduce the corrupting noise. Experimental results show that the proposed approach can efficiently remove the added noise in cases of various noise corruptions, and almost free from musical residual noise.
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Ching-Ta LU, Hsiao-Chuan WANG, "An Explicit-Form Gain Factor for Speech Enhancement Using Spectral-Domain-Constrained Approach" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 3, pp. 1195-1202, March 2006, doi: 10.1093/ietisy/e89-d.3.1195.
Abstract: Employing noise masking threshold (NMT) to adapt a speech enhancement system has become popular due to the advantage of rendering the residual noise to perceptually white. Most methods employ the NMT to empirically adjust the parameters of a speech enhancement system according to the various properties of noise. In this article, without any predefined empirical factor, an explicit-form gain factor for a frequency bin is derived by perceptually constraining the residual noise below the NMT in spectral domain. This perceptual constraint preserves the spectrum of noisy speech when the level of residual noise is less than the NMT. If the level of residual noise exceeds the NMT, then the spectrum of noisy speech is suppressed to reduce the corrupting noise. Experimental results show that the proposed approach can efficiently remove the added noise in cases of various noise corruptions, and almost free from musical residual noise.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.3.1195/_p
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@ARTICLE{e89-d_3_1195,
author={Ching-Ta LU, Hsiao-Chuan WANG, },
journal={IEICE TRANSACTIONS on Information},
title={An Explicit-Form Gain Factor for Speech Enhancement Using Spectral-Domain-Constrained Approach},
year={2006},
volume={E89-D},
number={3},
pages={1195-1202},
abstract={Employing noise masking threshold (NMT) to adapt a speech enhancement system has become popular due to the advantage of rendering the residual noise to perceptually white. Most methods employ the NMT to empirically adjust the parameters of a speech enhancement system according to the various properties of noise. In this article, without any predefined empirical factor, an explicit-form gain factor for a frequency bin is derived by perceptually constraining the residual noise below the NMT in spectral domain. This perceptual constraint preserves the spectrum of noisy speech when the level of residual noise is less than the NMT. If the level of residual noise exceeds the NMT, then the spectrum of noisy speech is suppressed to reduce the corrupting noise. Experimental results show that the proposed approach can efficiently remove the added noise in cases of various noise corruptions, and almost free from musical residual noise.},
keywords={},
doi={10.1093/ietisy/e89-d.3.1195},
ISSN={1745-1361},
month={March},}
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TY - JOUR
TI - An Explicit-Form Gain Factor for Speech Enhancement Using Spectral-Domain-Constrained Approach
T2 - IEICE TRANSACTIONS on Information
SP - 1195
EP - 1202
AU - Ching-Ta LU
AU - Hsiao-Chuan WANG
PY - 2006
DO - 10.1093/ietisy/e89-d.3.1195
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2006
AB - Employing noise masking threshold (NMT) to adapt a speech enhancement system has become popular due to the advantage of rendering the residual noise to perceptually white. Most methods employ the NMT to empirically adjust the parameters of a speech enhancement system according to the various properties of noise. In this article, without any predefined empirical factor, an explicit-form gain factor for a frequency bin is derived by perceptually constraining the residual noise below the NMT in spectral domain. This perceptual constraint preserves the spectrum of noisy speech when the level of residual noise is less than the NMT. If the level of residual noise exceeds the NMT, then the spectrum of noisy speech is suppressed to reduce the corrupting noise. Experimental results show that the proposed approach can efficiently remove the added noise in cases of various noise corruptions, and almost free from musical residual noise.
ER -