Noise reduction algorithms employing an intelligent inference engine for multimedia applications

Author

Czyzewski, Andnej ; Krolikowski, Rafal

Author_Institution

Fac. of Electron., Telecommun. & Inf., Tech. Univ. Gdansk, Poland

fYear

1998

fDate

7-9 Dec 1998

Firstpage

125

Lastpage

130

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

Keywords

acoustic signal processing; audio coding; encoding; fuzzy logic; inference mechanisms; multimedia communication; noise abatement; spectral analysis; acoustic signals; audible noise; audio coding; fuzzy logic; intelligent inference engine; intelligent systems; multimedia applications; noise reduction; noise reduction algorithms; noise removal; perceptual coding; perceptual coding algorithm; spectral subtraction system; Acoustic applications; Acoustic noise; Acoustical engineering; Control systems; Engines; Fuzzy logic; Inference algorithms; Intelligent systems; Noise reduction; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1998 IEEE Second Workshop on

Conference_Location

Redondo Beach, CA

Print_ISBN

0-7803-4919-9

Type

conf

DOI

10.1109/MMSP.1998.738923

Filename

738923