A neural-network-based method of scratch noise removal from phonograph recordings is described. A design for scratch detection and filtering is presented along with an examination of the preprocessing and feature extraction incorporated. It is able to remove scratch noise with a minimal loss of high-frequency information and is superior to classical approaches.

Authors: McKinnon, Mark; Zaknich, Anthony
Affiliation: Centre for Intelligent Information Processing Systems, University of WA
AES Convention: 6r (August 1996) Paper Number: 4304
Publication Date: August 1, 1996

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