Fondements d'un système d'analyse musicale computationnelle suivant une modélisation cognitiviste de l'écoute

Abstract : This thesis develops a computational method for automated musical pattern discovery, which consists in detecting repetitions of successions of identities, expressed along several musical parameters. On the sequence of notes is built a network of patterns, subsumed to pattern classes, which form a tree-like structure. In both networks are woven specificity relations, expressing in particular pattern inclusions, and enabling a minimization of both networks, by annihilation of all structures directly deducible from more detailed ones. Thanks to such minimization, musical segmentation is replaced with optimal superposed groupings. Finally, a pattern cycling mechanism controls the combinatory of structures. Hence, the computer approach allows to explicit and radicalize the discovery procedures.
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Contributor : Olivier Lartillot-Nakamura <>
Submitted on : Friday, September 17, 2004 - 6:12:52 PM
Last modification on : Wednesday, March 27, 2019 - 1:28:09 AM
Long-term archiving on : Thursday, September 13, 2012 - 11:55:09 AM

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Olivier Lartillot-Nakamura. Fondements d'un système d'analyse musicale computationnelle suivant une modélisation cognitiviste de l'écoute. Interface homme-machine [cs.HC]. Université Pierre et Marie Curie - Paris VI, 2004. Français. ⟨tel-00006909⟩

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