VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

Abstract

Filtering techniques have been elaborated in the HA field to improve signal clarity and enhance the hearing capacity of deaf people. However, public sounds are highly noisy, so filtering those signals is not an easy task. Hence, the present article has aimed to develop a novel Ant Lion based power Noise-Variable Bandwidth Filter (ALPN-VBF) for the HA applications. Here, the proposed optimized power efficient filter has incorporated several functions like de-noising and frequency tuning based on the word features. Here, the signal's noise has been removed with the maximum possible range with the help of High-pass-Filter (HPF) and low-pass filter (LPF). Finally, the developed model is tested with a few audiograms, and the filter parameters have been analyzed and compared with other models. The testing results have proved that the designed filter is better in frequency tuning and signal transmission than the previous approaches by attaining less delay and reduced power consumption rate.

Aquila Based Adaptive Filtering for Hearing Aid with Optimized Performance

“…Because of this, there are many different kinds of hearing aids with various features and functions to meet other demands. The study of digital hearing aids has advanced, and the devices now contain a tiny modifiable computer for amplifying millions of distinct sound signals, enhancing the hearing of those who are deaf or hard of hearing [10]. Frequency domain features are commonly used in sound processing.…”