Learning algorithms provide a powerful tool when used to eliminate impulse distortions affecting old records. Previously, a neural network simulation was tested with regard to the detection of scratches, hiss, and clicks. New experiments implemented another decision system based on the rough set method. Principles of this relatively new method of considering data are presented. Results of this approach to the sound restoration of old records are shown.

Author: Czyzewski, Andrzej
Affiliation: Technical University of Gdansk, Gdansk, Poland
AES Convention: 99 (October 1995) Paper Number: 4078
Publication Date: October 1, 1995 Import into BibTeX
Subject: Signal Analysis and Noise Reduction
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=7688

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