A Perceptual Model-Based Speech Enhancement Algorithm
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R. Yu, "A Perceptual Model-Based Speech Enhancement Algorithm," Paper 7646, (2008 October.). doi:
R. Yu, "A Perceptual Model-Based Speech Enhancement Algorithm," Paper 7646, (2008 October.). doi:
Abstract: This paper presents a perceptual model based speech enhancement algorithm. The proposed algorithm measures the amount of the audible noise in the input noisy speech explicitly by using a psychoacoustic model, and decides an appropriate amount of noise reduction accordingly to achieve good noise level reduction without introducing significant distortion to the clean speech embedded in the input noisy signal. The proposed algorithm also mitigates the musical noise problem commonly encountered in conventional speech enhancement algorithms by having the amount of noise reduction adapt to the instantly estimated noise amplitude. Good performance of the proposed algorithm has been confirmed through objective and subjective tests.
@article{yu2008a,
author={yu, rongshan},
journal={journal of the audio engineering society},
title={a perceptual model-based speech enhancement algorithm},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{yu2008a,
author={yu, rongshan},
journal={journal of the audio engineering society},
title={a perceptual model-based speech enhancement algorithm},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={this paper presents a perceptual model based speech enhancement algorithm. the proposed algorithm measures the amount of the audible noise in the input noisy speech explicitly by using a psychoacoustic model, and decides an appropriate amount of noise reduction accordingly to achieve good noise level reduction without introducing significant distortion to the clean speech embedded in the input noisy signal. the proposed algorithm also mitigates the musical noise problem commonly encountered in conventional speech enhancement algorithms by having the amount of noise reduction adapt to the instantly estimated noise amplitude. good performance of the proposed algorithm has been confirmed through objective and subjective tests.},}
TY - paper
TI - A Perceptual Model-Based Speech Enhancement Algorithm
SP -
EP -
AU - Yu, Rongshan
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
TY - paper
TI - A Perceptual Model-Based Speech Enhancement Algorithm
SP -
EP -
AU - Yu, Rongshan
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
AB - This paper presents a perceptual model based speech enhancement algorithm. The proposed algorithm measures the amount of the audible noise in the input noisy speech explicitly by using a psychoacoustic model, and decides an appropriate amount of noise reduction accordingly to achieve good noise level reduction without introducing significant distortion to the clean speech embedded in the input noisy signal. The proposed algorithm also mitigates the musical noise problem commonly encountered in conventional speech enhancement algorithms by having the amount of noise reduction adapt to the instantly estimated noise amplitude. Good performance of the proposed algorithm has been confirmed through objective and subjective tests.
This paper presents a perceptual model based speech enhancement algorithm. The proposed algorithm measures the amount of the audible noise in the input noisy speech explicitly by using a psychoacoustic model, and decides an appropriate amount of noise reduction accordingly to achieve good noise level reduction without introducing significant distortion to the clean speech embedded in the input noisy signal. The proposed algorithm also mitigates the musical noise problem commonly encountered in conventional speech enhancement algorithms by having the amount of noise reduction adapt to the instantly estimated noise amplitude. Good performance of the proposed algorithm has been confirmed through objective and subjective tests.
Author:
Yu, Rongshan
Affiliation:
Dolby Laboratories
AES Convention:
125 (October 2008)
Paper Number:
7646
Publication Date:
October 1, 2008Import into BibTeX
Subject:
Audio Digital Signal Processing and Effects
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14797