An optimized frequency response masking reconfigurable filter to enhance the performance of the hearing aid system

In general, a filter bank scheme is used to distort sound signals in a hearing aid system based on the characteristics of the patient's hearing loss. Furthermore, various filter banks are mainly designed to help deaf patients. However, the existing filter bank designs use more power, higher matching error, delay, and complex design. In this paper, the optimized reconfigurable filter is planned by a novel African buffalo-based Frequency Response Masking Reconfigurable Filter (AB-FRMRF) model for enhancing the efficiency of the hearing aid system. Here, the African Buffalo (AB) manner is utilized in the filter bank for tuning parameters like matching loss, delay, and power. Here, the proposed AB-FRMRF filter model is designed with the use of MATLAB and Xilinx software. Subsequently, the performance metrics investigation of the audiogram matching has enhanced the reduction of matching error as 1.2 dB and 2.5 ms delay. The developed approach reduced the computational complexity and attained better results in frequency, delay, and power, which are compared with existing conventional methods.