Accidental wow defect evaluation using sinusoidal analysis enhanced by artificial neural networks

Authors:
Andrzej Czyzewski;Bozena Kostek;Przemyslaw Maziewski;Lukasz Litwic
Affiliations:
Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland;Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland;Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland;Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland
Venue:
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Year:
2006

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Abstract

A method for evaluation of parasitic frequency modulation (wow) in archival audio is presented. The proposed approach utilizes sinusoidal components tracking as their variations correspond with the wow defect. The sinusoidal modeling procedures are used to extract the tonal components from severely distorted and significantly modulated audio signals. A prediction module based on neural networks is proposed to improve the tonal components tracking