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Accidental Wow Defect Evaluation Using Sinusoidal Analysis Enhanced by Artificial Neural Networks

  • Conference paper
Rough Sets and Knowledge Technology (RSKT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4062))

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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.

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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