2 papers
eess.AS2024
Efficient Personalization of Amplification in Hearing Aids via Multi-band Bayesian Machine Learning
Aoxin Ni, Edward Lobarinas, Nasser Kehtarnavaz
Personalization of the amplification function of hearing aids has been shown to be of benefit to hearing aid users in previous studies. Several machine learning-based personalizati…
eess.AS2020
Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning
Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz
Existing prescriptive compression strategies used in hearing aid fitting are designed based on gain averages from a group of users which are not necessarily optimal for a specific…