Machine Learning Solutions for Systematic Personalization of Amplification in Hearing Aids |Biomedgrid

One major limitation of the current standard of hearing aid fitting is that there is little provision for individual user amplification preferences and hearing aids are normally programmed based on standard prescriptions. These prescriptive targets are based on the average needs of users with similar levels of hearing loss with no standard provision for individual input. In this mini review article, an overview of machine learning solutions that have recently been developed to systematically incorporate hearing aid users' individual preferences into a prescription is presented. It is envisioned that such machine learning solutions would have a significant impact on the way future generations of hearing aids would be programmed by audiologists to better address the individual needs of hearing aid users.