IEICE TRANSACTIONS on Information
Speech Enhancement Based on Data-Driven Residual Gain Estimation
Summary :
In this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.12 pp.2537-2540
- Publication Date
- 2011/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.2537
- Type of Manuscript
- LETTER
- Category
- Speech and Hearing
Authors
Keyword
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Yu Gwang JIN, Nam Soo KIM, Joon-Hyuk CHANG, "Speech Enhancement Based on Data-Driven Residual Gain Estimation" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 12, pp. 2537-2540, December 2011, doi: 10.1587/transinf.E94.D.2537.
Abstract: In this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.2537/_p
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@ARTICLE{e94-d_12_2537,
author={Yu Gwang JIN, Nam Soo KIM, Joon-Hyuk CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Speech Enhancement Based on Data-Driven Residual Gain Estimation},
year={2011},
volume={E94-D},
number={12},
pages={2537-2540},
abstract={In this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table.},
keywords={},
doi={10.1587/transinf.E94.D.2537},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Speech Enhancement Based on Data-Driven Residual Gain Estimation
T2 - IEICE TRANSACTIONS on Information
SP - 2537
EP - 2540
AU - Yu Gwang JIN
AU - Nam Soo KIM
AU - Joon-Hyuk CHANG
PY - 2011
DO - 10.1587/transinf.E94.D.2537
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2011
AB - In this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table.
ER -
English
