Paper Info
Title
An Evolutionary Approach to Computer-Aided Orchestration
Abstract
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-objective 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 clustering procedure allows for the computation of sound mixtures neighborhoods for the local search phase. We also 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.
Year
DOI
Venue
2007
10.1007/978-3-540-71805-5_54
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Keywords
Field
DocType
sound mixtures neighborhood,local search phase,sound combination,orchestration procedure,computer-aided orchestration,orchestration problem,instruments sound sample,search method,evolutionary approach,genetic search,local search,genetics,knapsack problem
Evolutionary algorithm,Operator (computer programming),Artificial intelligence,Local search (optimization),Knapsack problem,Engineering,Cluster analysis,Orchestration (computing),Pareto principle,Computation
Conference
Volume
ISSN
Citations 
4448
0302-9743
2
PageRank 
References 
Authors
0.51
5
5
Name
Order
Citations
PageRank
Grégoire Carpentier1202.93
damien tardieu2233.79
Gérard Assayag313817.11
Xavier Rodet4627107.87
Emmanuel Saint-James5163.56