Preprocessing Noise Reduction For Assistive Listening System

• Main Authors: Nurul, Md Yunus, Noor Aliff, Noor Affande, Roshahliza, M. Ramli, Noor, Ali O. Abid, Salina, Abdul Samad
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/33739/1/Preprocessing_Noise_Reduction_For_Assistive_Listening_System.pdf; http://umpir.ump.edu.my/id/eprint/33739/; https://doi.org/10.1109/ICE3IS54102.2021.9649710
• Institution: Universiti Malaysia Pahang

This research aims to investigate the preprocessing stage of the noise cancellation system to tackle the problem of hearing loss in the industry. A hearing aid may help one to hear sounds, but it will not filter or eliminate background sound. Hence, it is hard to hear clearly. Other than that, for a worker who is working in a high noise environment, repeated exposure to loud noise can lead to severe hearing degradation or permanent hearing loss. There are four proposed filters used for this paper, and four proposed adaptive algorithms in the Assistive Listening System (ALS). These filters and adaptive algorithms are significant to investigate the preprocessing to achieve a high level of Signal- to-Noise Ratio (SNR) performance with a low noise level. Preprocessing method is crucial to minimize the background noises and to eliminate the risk of corrupt hearing. After the findings, the best filter used for preprocessing is the Butterworth Lowpass Filter with a maximum output power of 65 dB; and the best adaptive algorithm is Smart Noise Canceller with an output SNR of 80.43 dB.