Smartphone-Based Noise Adaptive Speech Enhancement for Hearing Aid Applications

Issa Panahi1, Nasser Kehtarnavaz1, Linda Thibodeau1

  • 1University of Texas at Dallas

Details

08:45 - 09:00 | Wed 17 Aug | Fantasia D | WeAT4.4

Session: Hearing Study and Hearing Aid

Abstract

It is well established that the presence of environmental noises has a negative impact on the performance of hearing aid devices. This paper addresses a noise adaptive speech enhancement solution for the purpose of improving the performance of hearing aid devices in noisy environments. Depending on three noise types of babble, machinery, and driving car, the parameters of a recently developed speech enhancement algorithm are appropriately adjusted to gain improved speech understanding performance in noisy environments. This solution is implemented on smartphone platforms as an app and interfaced with a hearing aid device. A clinical testing protocol is devised to evaluate the performance of the app in participants with normal hearing and hearing impairments. The clinical testing results have indicated that statistically significant improvement in speech understanding is gained between the unprocessed and processed conditions using the developed noise adaptive speech enhancement solution.