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Titlebook: Computational Music Analysis; David Meredith Book 2016 Springer International Publishing Switzerland 2016 Algorithmic Composition.Algorith

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H. Nohl,W. Klose,O. K. Andersenfied as a harmonic tone when it belongs to the underlying chord, and as a non-harmonic tone otherwise, with a number of categories in this latter case. Automatic systems for fully solving this task without errors are still far from being available, so it must be assumed that, in a practical scenario
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Superconductivity in Ternary Compounds IIutational automation of the discovery of motivic patterns cannot be reduced to a mere extraction of all possible sequences of descriptions. The systematic approach inexorably leads to a proliferation of redundant structures that needs to be addressed properly. Global filtering techniques cause a dra
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Superconductivity in Ternary Compounds IIonophonic voices. We model the importance of a discovered pattern in terms of the compression ratio that can be achieved by using it to describe that part of the melody covered by its occurrences. The proposed method resembles that of paradigmatic analysis developed by Ruwet (1966) and Nattiez (1975
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O. Gunnarsson,J. E. Han,E. Koch,V. H. Crespiis is not systems to mimic human analysis, but instead systems to answer specific music-analytical questions. The chapter concludes with several consequent recommendations for future directions in computational music analysis.
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Superconductivity in Ternary Compounds IIthe successive notes and intervals, various sets of musical parameters may be invoked. In this chapter, a method is presented that allows for these . patterns to be discovered. Motivic repetition with local ornamentation is detected by reconstructing, on top of “surface-level” monodic voices, longer
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