Noise reduction algorithms employing an intelligent inference engine for multimedia applications

Abstract

Two approaches to noise reduction are presented, namely the spectral subtraction system and the perceptual coding algorithm allowing to diminish audible noise. Both systems are controlled by an intelligent inference engine based on fuzzy logic. An extension of perceptual coding applications was proposed and verified experimentally with regard to noise removal originally present in acoustic signals. The engineered intelligent systems for noise reduction are presented briefly.