A comprehensive method applying a nonlinear frequency compression (FC) as complementary to multi-band loudness compensation is proposed, which is able to improve loudness compensation and simultaneously increase high-frequency speech intelligibility for digital hearing aids. The proposed nonlinear FC (NLFC) improves the conventional methods in the aspect that the compression ratio (CR) is adjusted based on the speech intelligibility percentage in different frequency ranges. Then, an adaptive wide dynamic range compression (AWDRC) with a time-varying CR is applied to achieve adaptive loudness compensation. The experimental test results show that the mean speech identification is improved in comparison with the state-of-art methods.
Zhaoyang GUO
Peking University Shenzhen Graduate School
Bo WANG
Peking University Shenzhen Graduate School
Xin'an WANG
Peking University Shenzhen Graduate School
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Zhaoyang GUO, Bo WANG, Xin'an WANG, "A Comprehensive Method to Improve Loudness Compensation and High-Frequency Speech Intelligibility for Digital Hearing Aids" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 7, pp. 1552-1556, July 2017, doi: 10.1587/transfun.E100.A.1552.
Abstract: A comprehensive method applying a nonlinear frequency compression (FC) as complementary to multi-band loudness compensation is proposed, which is able to improve loudness compensation and simultaneously increase high-frequency speech intelligibility for digital hearing aids. The proposed nonlinear FC (NLFC) improves the conventional methods in the aspect that the compression ratio (CR) is adjusted based on the speech intelligibility percentage in different frequency ranges. Then, an adaptive wide dynamic range compression (AWDRC) with a time-varying CR is applied to achieve adaptive loudness compensation. The experimental test results show that the mean speech identification is improved in comparison with the state-of-art methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1552/_p
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@ARTICLE{e100-a_7_1552,
author={Zhaoyang GUO, Bo WANG, Xin'an WANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Comprehensive Method to Improve Loudness Compensation and High-Frequency Speech Intelligibility for Digital Hearing Aids},
year={2017},
volume={E100-A},
number={7},
pages={1552-1556},
abstract={A comprehensive method applying a nonlinear frequency compression (FC) as complementary to multi-band loudness compensation is proposed, which is able to improve loudness compensation and simultaneously increase high-frequency speech intelligibility for digital hearing aids. The proposed nonlinear FC (NLFC) improves the conventional methods in the aspect that the compression ratio (CR) is adjusted based on the speech intelligibility percentage in different frequency ranges. Then, an adaptive wide dynamic range compression (AWDRC) with a time-varying CR is applied to achieve adaptive loudness compensation. The experimental test results show that the mean speech identification is improved in comparison with the state-of-art methods.},
keywords={},
doi={10.1587/transfun.E100.A.1552},
ISSN={1745-1337},
month={July},}
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TY - JOUR
TI - A Comprehensive Method to Improve Loudness Compensation and High-Frequency Speech Intelligibility for Digital Hearing Aids
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1552
EP - 1556
AU - Zhaoyang GUO
AU - Bo WANG
AU - Xin'an WANG
PY - 2017
DO - 10.1587/transfun.E100.A.1552
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2017
AB - A comprehensive method applying a nonlinear frequency compression (FC) as complementary to multi-band loudness compensation is proposed, which is able to improve loudness compensation and simultaneously increase high-frequency speech intelligibility for digital hearing aids. The proposed nonlinear FC (NLFC) improves the conventional methods in the aspect that the compression ratio (CR) is adjusted based on the speech intelligibility percentage in different frequency ranges. Then, an adaptive wide dynamic range compression (AWDRC) with a time-varying CR is applied to achieve adaptive loudness compensation. The experimental test results show that the mean speech identification is improved in comparison with the state-of-art methods.
ER -