IMITATIVE AND GENERATIVE ORCHESTRATIONS USING PRE-ANALYSED SOUNDS DATABASES
Résumé
In this paper we will introduce a tool aimed at assisting composers in orchestration tasks. Thanks to this tool, composers can specify a target sound and replicate it with a given, pre-determined orchestra. This target sound, defined as a set of audio and symbolic features, can be constructed either by analysing a pre-recorded sound, or through a compositional process.We will then describe an orchestration procedure that uses large pre-analysed instrumental sound databases to offer composers a set of sound combinations. This procedure relies on a set of features that describe different aspects of the sound. Our purpose is not to build an exhaustive sound description, but rather to design a general framework which can be easily extended by adding new features when needed.
Domaines
Langage de programmation [cs.PL] Son [cs.SD] Traitement du signal et de l'image [eess.SP] Machine Learning [stat.ML] Intelligence artificielle [cs.AI] Théorie et langage formel [cs.FL] Musique, musicologie et arts de la scène Acoustique [physics.class-ph] Traitement du signal et de l'image [eess.SP] NeurosciencesOrigine | Fichiers produits par l'(les) auteur(s) |
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