• DocumentCode
    3108684
  • Title

    Automatic composition system based on genetic algorithm and N-gram model

  • Author

    TOMARI, Manabu ; SATO, Masayuki ; Osana, Yuko

  • Author_Institution
    Sch. of Comput. Sci., Tokyo Univ. of Technol., Tokyo
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    202
  • Lastpage
    207
  • Abstract
    In this paper, we propose the automatic composition system based on genetic algorithm and N-gram model. In the proposed system, the tone and the length of sounds are expressed in a form of gene, and some melodies are generated by genetic algorithm. In this system, the fitness of the gene is calculated based on (a) transition of rhythm, (b) transition of tone, (c) transition of tone and length, (d) transition of the number of sounds per bar, (e) similarity of rhythms between bars, (f) rate of unique sounds of scales and (g) difference between two sounds. We carried out a series of computer experiments and confirmed the effectiveness of the proposed system.
  • Keywords
    Markov processes; acoustic signal processing; genetic algorithms; N-gram model; automatic composition system; genetic algorithm; Bars; Computer science; Frequency estimation; Genetic algorithms; Genetic engineering; Genetic programming; Hidden Markov models; Markov processes; Natural language processing; Rhythm; Automatic Composition; Genetic Algorithm; N-gram Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811275
  • Filename
    4811275