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At equal sound exposure levels, listeners with a pre-existing hearing loss are less vulnerable to music-induced hearing damage than listeners with no hearing loss. But such listeners require and often prefer to listen to music with additional amplification. But how much gain and to what output levels (in dB) are safe is somewhat unknown at this time. In this study, we use computational models to predict hearing threshold shifts from amplified music exposure. We estimate safe output limits and corresponding free-field exposure limits for listening to music with hearing amplification by minimizing permanent and temporary threshold shifts.
Author (s): Boley, Jon;
Johnson, Earl E.;
Affiliation:
GN Advanced Science, Glenview, IL, USA; James H. Quillen VA Medical Center, Mountain Home, TN, USA; East Tennessee State University, Johnson City, TN, USA
(See document for exact affiliation information.)
Publication Date:
2018-06-06
Session subject:
hearing aid; amplification; hearing loss; music
DOI:
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Boley, Jon; Johnson, Earl E.; 2018; Computational Models to Predict Safety Limits for Aided Music Listening [PDF]; GN Advanced Science, Glenview, IL, USA; James H. Quillen VA Medical Center, Mountain Home, TN, USA; East Tennessee State University, Johnson City, TN, USA; Paper P-5; Available from: https://aes.org/publications/elibrary-page/?id=19574
Boley, Jon; Johnson, Earl E.; Computational Models to Predict Safety Limits for Aided Music Listening [PDF]; GN Advanced Science, Glenview, IL, USA; James H. Quillen VA Medical Center, Mountain Home, TN, USA; East Tennessee State University, Johnson City, TN, USA; Paper P-5; 2018 Available: https://aes.org/publications/elibrary-page/?id=19574
@inproceedings{Boley2018computational,
title={{Computational Models to Predict Safety Limits for Aided Music Listening}},
author={Boley, Jon and Johnson, Earl E.},
year={2018},
month={jun},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper P-5; AES Conference: 2018 AES International Conference on Music Induced Hearing Disorders; June 2018},
number={P-5},
organization={AES},
}
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