Prediction of hearing loss through application of Deep Neural Network

Calabrese S, Donati E, Chousidis C. Prediction of hearing loss through application of Deep Neural Network. In: AES Convention 148. Audio Engineering Society; 2020. Paper 10373. Available from: https://aes.org/publications/elibrary-page/?id=20790

@inproceedings{Calabrese2020_20790,
  author = {Calabrese, Samuele and Donati, Eugenio and Chousidis, Christos},
  title = {{Prediction of hearing loss through application of Deep Neural Network}},
  booktitle = {AES Convention 148},
  note = {Paper 10373},
  year = {2020},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20790}
}

TY  - CPAPER
TI  - Prediction of hearing loss through application of Deep Neural Network
AU  - Calabrese, Samuele
AU  - Donati, Eugenio
AU  - Chousidis, Christos
T2  - AES Convention 148
M1  - Paper 10373
PY  - 2020
DA  - 2020/05/06
UR  - https://aes.org/publications/elibrary-page/?id=20790
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes a neural network designed to provide aid in the preventive diagnosis of hearing loss issues. Hearing loss is a widely widespread disability affecting millions of people worldwide. An anonymous dataset is used to train a neural network to evaluate hearing loss in prevention and early diagnosis with the aim of supporting health care by optimising time and cost. The system is tested using a second set of data and results in a correct evaluation of whether the patient is affected by hearing loss or not.
ER  -