Comparative Analysis of Octave and Band Pass Filter for Improving Hearing Capability of Deaf People
Lalit Negi, Manju Kumari, Ramanpreet Kaur · 2023
Today's technical advancements expose everyone to machine-made loud sounds like horns, loudspeakers, TV, and motor sounds. As a result, various hearing-related disorders such as headaches, depression, high blood pressure, irregular heartbeats, hearing loss, deafness, and so on have emerged. For hearing loss, technology has played a vital role in overcoming this problem without any surgical procedure. Hearing strengthening devices are the most popular for such kinds of ailments. The primary component for building these kinds of devices is the sound filters. This paper is an effort to provide an optimum solution for improving hearing aids by using filters available in the market. In this paper, two Simulink-based models are taken from previous research, and some modifications have been made to this model, which uses the Octave and Bandpass Filters. They are compared by analyzing different parameters of the output speech signal with respect to the input speech signal, such as THD (Total Harmonic Distortion), SNR (Signal-to-Noise Ratio), SINDR (Signal-to-Noise-and-Distortion Ratio), and SFDR (Spurious Free Dynamic Range). MATLAB is a working platform and development tool to design and simulate the complete model with bandpass and octave filters. Furthermore, tests show that octave filters are more helpful for audio processing than bandpass filters as they provide better SNR, SINAD, and reduced SFDR and, thus, practical for use in hearing aids.