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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Czyzewski, A., Kostek, B., Maziewski, P., & Litwic, L. (2006). Accidental wow defect evaluation using sinusoidal analysis enhanced by artificial neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4062 LNAI, pp. 389–395). Springer Verlag. https://doi.org/10.1007/11795131_56
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