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Convention Paper

Artificial Intelligence-Based Processing of Old Audio Recordings

Authors: Czyzewski, Andrzej

AES Convention 97 · Paper 3885 · November 1994

Abstract

Learning algorithms have been implemented to eliminate the impulse distortions found in old records. The neural network simulation was tested with regard to the detection of hiss, scratches, and clicks. Various algorithms for the interpolation of distorted signal fragments were studied and implemented practically to the sound restoration. The quality of the restored sound patterns was assessed subjectively. The applied methods, results of subjective testing, and conclusions are presented in the paper.

Details

Published in
AES Convention 97
AES Convention
97
Paper number
3885
Publication date
November 6, 1994
Session subject
Recording
Affiliation
Technical Univ. of Gdansk, Gdansk,Poland (See document for exact affiliation information.)
Type
Convention Paper