DocumentCode
2462177
Title
GA-based Music Arranging for Guitar
Author
Tuohy, Daniel R. ; Potter, Walter D.
Author_Institution
Univ. of Georgia, Athens
fYear
0
fDate
0-0 0
Firstpage
1065
Lastpage
1070
Abstract
In this paper we describe a system for converting a piece of music into an appropriate arrangement for guitar. The system is supported by previous research into the generation of guitar performance information (tablature) with genetic algorithms. This technology is a significant part of an evaluation function that is designed to differentiate between candidate arrangements on the basis of both faithfulness to the original piece and on playability. We describe both a genetic algorithm and a greedy hill-climber that use this function to find good arrangements. Both techniques have demonstrated an ability to create viable arrangements of the pieces tested.
Keywords
genetic algorithms; music; genetic algorithms; guitar performance information; music arranging; tablature; Artificial intelligence; Evolutionary computation; Fingers; Genetic algorithms; Humans; Instruments; Jacobian matrices; Multiple signal classification; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688427
Filename
1688427
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