Computational Models to Predict Safety Limits for Aided Music Listening

Boley J, Johnson EE. Computational Models to Predict Safety Limits for Aided Music Listening. In: AES Conference: 2018 AES International Conference on Music Induced Hearing Disorders. Audio Engineering Society; 2018. Paper P-5. Available from: https://aes.org/publications/elibrary-page/?id=19574

@inproceedings{Boley2018_19574,
  author = {Boley, Jon and Johnson, Earl E.},
  title = {{Computational Models to Predict Safety Limits for Aided Music Listening}},
  booktitle = {AES Conference: 2018 AES International Conference on Music Induced Hearing Disorders},
  note = {Paper P-5},
  year = {2018},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19574}
}

TY  - CPAPER
TI  - Computational Models to Predict Safety Limits for Aided Music Listening
AU  - Boley, Jon
AU  - Johnson, Earl E.
T2  - AES Conference: 2018 AES International Conference on Music Induced Hearing Disorders
M1  - Paper P-5
PY  - 2018
DA  - 2018/06/06
UR  - https://aes.org/publications/elibrary-page/?id=19574
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -