• 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