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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Czyzewski, A., Maziewski, P., Dziubinski, M., Kaczmarek, A., Kostek, B.: Wow Detection and Compensation Employing Spectral Processing of Audio. 117 Audio Engineering Society Convention, Convention Paper 6212, San Francisco (October 2004)
Czyzewski, A.: Learning Algorithms for Audio Signal Enhancement Part 1: Neural Network Implementation for the Removal of Impulse Distortions. Journal of the Audio Engineering Society 10, 815–831 (1997)
Maher, R.C.: A Method for Extrapolation of Missing Audio Data. Journal of Audio Engineering Society 5, 350–357 (1994)
Lagrange, M., Marchand, S.: Long Interpolation of Audio Signals Using Linear Prediction in Sinusoidal Modeling. Journal of Audio Engineering Society 10, 891–905 (2005)
Zhang, P.G., Patuwo, B.E., Hu, M.Y.: Forecasting with Artificial Neural Networks: The State of the Art. International Journal of Forecasting 14, 35–62 (1998)
Zhang, P.G., Patuwo, B.E., Hu, M.Y.: A Simulation Study of Neural Networks for Nonlinear Time-Series Forecasting. Computers & Operations Research 28, 381–396 (2001)
Serra, X.: Musical Sound Modeling with Sinusoids plus Noise. In: Pope, S., Picalli, A., De Poli, G., Roads, C. (eds.) Musical Signal Processing, Swets & Zeitlinger Publishers (1997)
McAulay, J., Quatieri, T.F.: Speech Analysis/Synthesis Based on a Sinusoidal Representation. IEEE Transactions on Acoustics, Speech, and Signal Processing, 744–754 (August 4, 1986)
Czyzewski, A., Dziubinski, M., Litwic, L., Maziewski, P.: Intelligent Algorithms for Optical Tracks Restoration. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3642, pp. 283–293. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Czyzewski, A., Kostek, B., Maziewski, P., Litwic, L. (2006). Accidental Wow Defect Evaluation Using Sinusoidal Analysis Enhanced by Artificial Neural Networks. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_56
Download citation
DOI: https://doi.org/10.1007/11795131_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36297-5
Online ISBN: 978-3-540-36299-9
eBook Packages: Computer ScienceComputer Science (R0)