A Physiologically Explainable Machine Learning Framework for Hearing Aid Development
In this work, we propose a machine learning framework for hearing aid development based on a physiological model of the inner ear (CARFAC) and neural network.
Environmental Sound Scene Recognition for Assistive Hearing Applications
An AI-based acoustic scene recognition system was developed to classify environmental sounds in real time and enable adaptive, context-aware hearing aid adjustments for individuals with hearing loss.