Transactions on Rough Sets V pp 123-145
Intelligent Algorithms for Movie Sound Tracks Restoration
- Cite this paper as:
- Czyżewski A., Dziubiński M., Litwic Ł., Maziewski P. (2006) Intelligent Algorithms for Movie Sound Tracks Restoration. In: Peters J.F., Skowron A. (eds) Transactions on Rough Sets V. Lecture Notes in Computer Science, vol 4100. Springer, Berlin, Heidelberg
Two algorithms for movie sound tracks restoration are discussed in the paper. The first algorithm is the unpredictability measure computation applied to the psychoacoustic model-based broadband noise attenuation. A learning decision algorithm, based on a neural network, is employed for determining useful audio signal components acting as maskers of the noisy spectral parts. An application of the rough set decision system to this task is also considered. An iterative method for calculating the sound masking pattern is presented. The second of presented algorithms is the routine for precise evaluation of parasite frequency modulations (wow) utilizing sinusoidal components extracted from the sound spectrum. The results obtained employing proposed intelligent signal processing algorithms, as well as the relationship between both routines, will be presented and discussed in the paper.
KeywordsAudio restoration noise reduction wow evaluation
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