Single-Channel Speech Enhancement Based on Reassigned Spectrogram
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J. Wang, C. Yang, C. Zhang, and R. Peng, "Single-Channel Speech Enhancement Based on Reassigned Spectrogram," Paper 9644, (2016 September.). doi:
J. Wang, C. Yang, C. Zhang, and R. Peng, "Single-Channel Speech Enhancement Based on Reassigned Spectrogram," Paper 9644, (2016 September.). doi:
Abstract: Most of the traditional a priori SNR estimators, such as the decision-directed approach and its improved versions, only consider the correlation of adjacent frames. Whereas, it is well-known that voiced speech is a typical harmonic signal that results in strong correlation of harmonics. We can expect that the a priori SNR estimator can be improved if the correlation of adjacent frames and harmonics can be used simultaneously. With this motivation, we propose to use the reassigned spectrogram (RS) to control the forgetting factor of the decision-directed approach. Experimental results indicate that the proposed RS-based SNR estimator is much better than the traditional decision-directed approach.
@article{wang2016single-channel,
author={wang, jie and yang, chengcheng and zhang, chunliang and peng, renhua},
journal={journal of the audio engineering society},
title={single-channel speech enhancement based on reassigned spectrogram},
year={2016},
volume={},
number={},
pages={},
doi={},
month={september},}
@article{wang2016single-channel,
author={wang, jie and yang, chengcheng and zhang, chunliang and peng, renhua},
journal={journal of the audio engineering society},
title={single-channel speech enhancement based on reassigned spectrogram},
year={2016},
volume={},
number={},
pages={},
doi={},
month={september},
abstract={most of the traditional a priori snr estimators, such as the decision-directed approach and its improved versions, only consider the correlation of adjacent frames. whereas, it is well-known that voiced speech is a typical harmonic signal that results in strong correlation of harmonics. we can expect that the a priori snr estimator can be improved if the correlation of adjacent frames and harmonics can be used simultaneously. with this motivation, we propose to use the reassigned spectrogram (rs) to control the forgetting factor of the decision-directed approach. experimental results indicate that the proposed rs-based snr estimator is much better than the traditional decision-directed approach.},}
TY - paper
TI - Single-Channel Speech Enhancement Based on Reassigned Spectrogram
SP -
EP -
AU - Wang, Jie
AU - Yang, Chengcheng
AU - Zhang, Chunliang
AU - Peng, Renhua
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2016
TY - paper
TI - Single-Channel Speech Enhancement Based on Reassigned Spectrogram
SP -
EP -
AU - Wang, Jie
AU - Yang, Chengcheng
AU - Zhang, Chunliang
AU - Peng, Renhua
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - September 2016
AB - Most of the traditional a priori SNR estimators, such as the decision-directed approach and its improved versions, only consider the correlation of adjacent frames. Whereas, it is well-known that voiced speech is a typical harmonic signal that results in strong correlation of harmonics. We can expect that the a priori SNR estimator can be improved if the correlation of adjacent frames and harmonics can be used simultaneously. With this motivation, we propose to use the reassigned spectrogram (RS) to control the forgetting factor of the decision-directed approach. Experimental results indicate that the proposed RS-based SNR estimator is much better than the traditional decision-directed approach.
Most of the traditional a priori SNR estimators, such as the decision-directed approach and its improved versions, only consider the correlation of adjacent frames. Whereas, it is well-known that voiced speech is a typical harmonic signal that results in strong correlation of harmonics. We can expect that the a priori SNR estimator can be improved if the correlation of adjacent frames and harmonics can be used simultaneously. With this motivation, we propose to use the reassigned spectrogram (RS) to control the forgetting factor of the decision-directed approach. Experimental results indicate that the proposed RS-based SNR estimator is much better than the traditional decision-directed approach.
Authors:
Wang, Jie; Yang, Chengcheng; Zhang, Chunliang; Peng, Renhua
Affiliations:
Guangzhou University, Guangzhou, China; Chinese Academy of Sciences, Beijing, China(See document for exact affiliation information.)
AES Convention:
141 (September 2016)
Paper Number:
9644
Publication Date:
September 20, 2016Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=18448