An Evolutionary Approach to Computer-Aided Orchestration

Autor: Damien Tardieu, Emmanuel Saint-James, Xavier Rodet, Grégoire Carpentier, Gérard Assayag
Přispěvatelé: Représentations musicales (Repmus), Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Analyse et synthèse sonores [Paris], Modélisation et Vérification (MoVe), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2007
Předmět:
Engineering
Computation
Evolutionary algorithm
02 engineering and technology
Sac à dos
MOKP-0
Informatique musicale
060404 music
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Set (abstract data type)
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]
0202 electrical engineering
electronic engineering
information engineering

orchestration
[INFO]Computer Science [cs]
Local search (optimization)
Orchestration (computing)
Cluster analysis
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]
[SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts
business.industry
[SCCO.NEUR]Cognitive science/Neuroscience
06 humanities and the arts
algorithmes génétiques
Knapsack problem
Pareto
[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]
Computer-aided
020201 artificial intelligence & image processing
Artificial intelligence
business
Recherche opérationnelle
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
0604 arts
Zdroj: EvoMUSART
EvoMUSART, Apr 2007, Valence, Spain. pp.488-497
Lecture Notes in Computer Science ISBN: 9783540718048
EvoWorkshops
5e workshop on Evolutionary Computation, Machine Learning and Data Mining
5e workshop on Evolutionary Computation, Machine Learning and Data Mining, Apr 2007, Valencia, Spain. pp.488-497, ⟨10.1007/978-3-540-71805-5_54⟩
DOI: 10.1007/978-3-540-71805-5_54⟩
Popis: cote interne IRCAM: Carpentier07a; None / None; National audience; In this paper we introduce an hybrid evolutionary algorithm for computer-aided orchestration. Our current approach to orchestration consists in replicating a target sound with a set of instruments sound samples. We show how the orchestration problem can be viewed as a multi-ob jective 0/1 knapsack problem, with additional constraints and a case-specific criteria formulation. Our search method hybridizes genetic search and local search, for both of which we define ad-hoc genetic and neighborhood operators. A simple modelling of sound combinations is used to create two new mutation operators for genetic search, while a preliminary lustering procedure allows for the computation of sound mixtures neighborhoods for the local search phase. We lso show in which way user interaction might be introduced in the orchestration procedure itself, and how to lead the search according to the users choices.
Databáze: OpenAIRE