Hearing Aids of the Future: A Simulation Study

Abstract

Modern hearing aids are a derivative of bulky systems. Though the adaptability and effectiveness of hearing aid plays a crucial role, the current hearing aids fail to account these factors in different listening situations due to the limitations in their signal processing abilities. To tackle this issue, the current paper presents a simulation study which highlights the use of machine learning for dynamically programming hearing aids for different listening situations. To represent these conditions, a Deep Neural Network (DNN) was built and real time inputs of six different listening situations were taken. The dynamical programmability of the DNN was compared with that of a classic fit hearing aid. The final results were used to understand the impact of DNN on speech processing abilities of a single fit hearing aid. Keywords : adaptive, hearing aid, listening condition, machine learning, neural network Cite this Article: Akshay Mendhakar, Sneha K C, Devi N, Renuka C. Hearing Aids of the Future: A Simulation Study. International Journal of Biomedical Engineering . 2020; 6(1): 18–23p.