• DocumentCode
    2312065
  • Title

    Fuzzy logic helps to integrate music theory and practice

  • Author

    Leon, Teresa ; Liern, Vicente

  • Author_Institution
    Dept. de Estadistica e Investig. Operativa, Univ. of Valencia, Burjassot, Spain
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Among the many practices of composers, instrumentalists and singers which clearly correspond with fuzzy logic our focus here is on tuning. Different criteria have been used to select the sounds that music uses. A set containing these sounds (musical notes) is called a tuning system. Several tuning systems coexist in a classical orchestra. The pitches of the notes are different and very precisely defined for each system; however the consequences of small deviations from these theoretical frequencies are not serious. Actually, the orchestra members are aware of the necessity of reaching a consensus and adjust their instruments to tune well. Because of this, many musicians feel that the mathematical arguments that justify tuning systems are impractical. Modeling the notes as fuzzy sets provides a flexible theoretical framework which helps to integrate tuning theory and practice. We illustrate our approach comparing some tuning systems and analyzing a excerpt by Béla Bartók.
  • Keywords
    fuzzy logic; fuzzy set theory; music; fuzzy logic; fuzzy set theory; music composer; music instrumentalist; music theory; musical note; musician; orchestra member; singer; tuning system; Ear; Fuzzy logic; Fuzzy sets; Instruments; Mathematical model; Music; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584652
  • Filename
    5584652