In recent times, hearing loss is a challenging task, to minimize the risks the application-based Hearing Aids (HA) system was introduced. In this research, the HA system was designed with the use of several filters to reduce the hearing loss challenges such as signal noise, etc. Besides, the filter bank scheme involves a limited quantity of sub-bands, which have similar or dissimilar bandwidths. Previously several methods are developed to enhances the HA system. Nevertheless, computational complexity and power utilization are increased when improving the filter quantity. This paper introduces a novel Wolf-based Fractional Delay Variable Bandwidth Filter (W-FDVBF) to improve the hearing obstacles by optimizing the filter parameters. Here, the wolf optimization parameters are tuned with filter bank parameters to reduce the power consumption and complexity. Moreover, the proposed W-FDVBF is implemented in MATLAB and Xilinx software, also the performance of the proposed filter was verified using Field Programmable Gate Array (FPGA) accelerator. Finally, the obtained results are compared with other existing approaches and have gained better outcomes by attaining less power and matching error. Therefore, the attained parameters are improved the HS system performance in terms of matching error, power, flip flop utilization, etc