• DocumentCode
    2223675
  • Title

    Tonality driven piano compositions with grammatical evolution

  • Author

    Loughran, Roisin ; McDermott, James ; O´Neill, Michael

  • Author_Institution
    NCRA, UCD CASL, Belfield, Dublin 4, Ireland
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    2168
  • Lastpage
    2175
  • Abstract
    We present a novel method of creating piano melodies with Grammatical Evolution (GE). The system employs a context free grammar in combination with a tonality-driven fitness function to create a population of piano melodies. The grammar is designed to create a variety of styles of musical events within each melody such as runs, arpeggios, turns and chords without any a priori musical information in regards to key or time signature. The fitness of the individuals is calculated as a measure of their tonality defined by a statistical distribution of the pitches in each piece. A number of short compositions are presented demonstrating that our system is capable of creating music that is interesting and unpredictable.
  • Keywords
    Bioinformatics; Complexity theory; Current measurement; Genomics; Grammar; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7257152
  • Filename
    7257152