ENHANCED AUDIO CLARITY USING ADVANCED NOISE SUPPRESSION TECHNIQUES IN TELECOMMUNICATION AND BROADCAST SYSTEMS

Abstract

Noise reduction plays a pivotal role in enhancing audio clarity within telecommunications and broadcast systems. Traditional approaches, such as spectral subtraction, rely on estimating the noise spectrum to suppress interference. While these methods perform reasonably well in stationary noise environments, they often introduce auditory artifacts and struggle to cope with dynamic, nonstationary noise, limiting their effectiveness in real-time applications.This study introduces an Adaptive Bandpass Wiener Filter (ABWF) as an advanced noise reduction technique. The proposed method dynamically adjusts its parameters to effectively manage both stationary and non-stationary noise types. Its bandpass design targets the frequency range of the desired signal, achieving superior noise suppression while preserving the integrity and naturalness of the audio.The ABWF’s real-time adaptability and artifact minimization make it particularly suitable for modern telecommunications and live broadcast scenarios. Comprehensive evaluations, including metrics such as Signal-to-Noise Ratio (SNR) and Perceptual Evaluation of Speech Quality (PESQ), demonstrate its clear advantage over conventional techniques. The proposed ABWF method marks a significant advancement in noise reduction technology, addressing the shortcomings of existing methods and setting a new benchmark for audio clarity in communication systems