Development of a Training Software to Improve Speech- in-Noise Perception in the Elderly with Noise-Induced Hearing Loss

Abstract

Background and Aim: The incidence of noise-induced hearing loss (NIHL) is increasing rapidly worldwide. It has been shown that the long-term exposure to noise leads to permanent hearing loss. There is currently no treatment for NIHL and it is mainly managed by preventive measures. This study aimed to develop a training software to improve speech-in-noise (SIN) perception in the elderly suffering from mild-to-moderate NIHL due to temporal fine structure (TFS) damage.
 Methods: This is a non-randomized clinical trial conducted on 8 older men aged 60-75 years (Mean age = 68 ± 4.5 years) with mild-to-moderate NIHL at high frequencies (43.75±6.0 dBHL) with at least for five years of work in noisy environment. They received rehabilitation using a researcher-developed training software targeted TFS for five weeks. To assess the efficiency of the training software, the signal-to-noise ratio for 50% correct scores (SNR-50%) was calculated using the word-in-noise test before and after the trial.
 Results: The SNR-50% improved significantly in all participants from 13±2.63 dB to 6.10±2.85 dB (p<0.001). In the multiple linear regression model, the rehabilitation by the training software predicted 68% of improvement in SNR-50% (coefficient of determination=0.676).
 Conclusion: Rehabilitation by the training software developed based on TFS can improve SIN. perception in the elderly with NIHL.