Most of the existing speech enhancement algorithms are aimed at improving the quality of speech, and the algorithms that can improve the speech intelligibility effectively are rare. Speech intelligibility has been found to improve listening comfort and it is generally related to the distortion of the speech signal closely. Studies have assessed the impact of speech distortion introduced by gain functions and shown that one of the main reasons that existing algorithms cannot improve speech intelligibility is because they allow amplification distortions more than 6dB. Therefore, these distortions of the enhanced amplitude spectrum should be corrected to improve the speech intelligibility. The early research by Loizou et al. obtained the experimental results on the ideal state and we are unable to use it in reality because there is no clean speech in reality. In this paper, we modify the method proposed by Loizou et al. and select the estimated speech under two hypothetical conditions to verify the improvement of the speech intelligibility. The short-term objective intelligibility value verifies the improvement of speech intelligibility as the improved algorithm of speech intelligibility is applied to reality successfully.
| Published in | Automation, Control and Intelligent Systems (Volume 7, Issue 3) |
| DOI | 10.11648/j.acis.20190703.13 |
| Page(s) | 92-98 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
Speech Intelligibility, Amplification Distortion, Short-Term Objective Intelligibility Value
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APA Style
Zhao Yanlei, Ou Shifeng, Gao Ying. (2019). Improved Wiener Filter Algorithm for Speech Enhancement. Automation, Control and Intelligent Systems, 7(3), 92-98. https://doi.org/10.11648/j.acis.20190703.13
ACS Style
Zhao Yanlei; Ou Shifeng; Gao Ying. Improved Wiener Filter Algorithm for Speech Enhancement. Autom. Control Intell. Syst. 2019, 7(3), 92-98. doi: 10.11648/j.acis.20190703.13
AMA Style
Zhao Yanlei, Ou Shifeng, Gao Ying. Improved Wiener Filter Algorithm for Speech Enhancement. Autom Control Intell Syst. 2019;7(3):92-98. doi: 10.11648/j.acis.20190703.13
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Download@article{10.11648/j.acis.20190703.13,
author = {Zhao Yanlei and Ou Shifeng and Gao Ying},
title = {Improved Wiener Filter Algorithm for Speech Enhancement},
journal = {Automation, Control and Intelligent Systems},
volume = {7},
number = {3},
pages = {92-98},
doi = {10.11648/j.acis.20190703.13},
url = {https://doi.org/10.11648/j.acis.20190703.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20190703.13},
abstract = {Most of the existing speech enhancement algorithms are aimed at improving the quality of speech, and the algorithms that can improve the speech intelligibility effectively are rare. Speech intelligibility has been found to improve listening comfort and it is generally related to the distortion of the speech signal closely. Studies have assessed the impact of speech distortion introduced by gain functions and shown that one of the main reasons that existing algorithms cannot improve speech intelligibility is because they allow amplification distortions more than 6dB. Therefore, these distortions of the enhanced amplitude spectrum should be corrected to improve the speech intelligibility. The early research by Loizou et al. obtained the experimental results on the ideal state and we are unable to use it in reality because there is no clean speech in reality. In this paper, we modify the method proposed by Loizou et al. and select the estimated speech under two hypothetical conditions to verify the improvement of the speech intelligibility. The short-term objective intelligibility value verifies the improvement of speech intelligibility as the improved algorithm of speech intelligibility is applied to reality successfully.},
year = {2019}
}
TY - JOUR T1 - Improved Wiener Filter Algorithm for Speech Enhancement AU - Zhao Yanlei AU - Ou Shifeng AU - Gao Ying Y1 - 2019/11/18 PY - 2019 N1 - https://doi.org/10.11648/j.acis.20190703.13 DO - 10.11648/j.acis.20190703.13 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 92 EP - 98 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20190703.13 AB - Most of the existing speech enhancement algorithms are aimed at improving the quality of speech, and the algorithms that can improve the speech intelligibility effectively are rare. Speech intelligibility has been found to improve listening comfort and it is generally related to the distortion of the speech signal closely. Studies have assessed the impact of speech distortion introduced by gain functions and shown that one of the main reasons that existing algorithms cannot improve speech intelligibility is because they allow amplification distortions more than 6dB. Therefore, these distortions of the enhanced amplitude spectrum should be corrected to improve the speech intelligibility. The early research by Loizou et al. obtained the experimental results on the ideal state and we are unable to use it in reality because there is no clean speech in reality. In this paper, we modify the method proposed by Loizou et al. and select the estimated speech under two hypothetical conditions to verify the improvement of the speech intelligibility. The short-term objective intelligibility value verifies the improvement of speech intelligibility as the improved algorithm of speech intelligibility is applied to reality successfully. VL - 7 IS - 3 ER -
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