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.
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