Syncopation as Transformation

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8905)


Syncopation is a rhythmic phenomenon present in various musical styles and cultures. We present here a set of simple rhythmic transformations that can serve as a formalized model for syncopation. The transformations are based on fundamental features of the musical meter and syncopation, as seen from a cognitive and a musical perspective. Based on this model, rhythmic patterns can be organized in tree structures where patterns are interconnected through simple transformations. A Max4Live device is presented as a creative application of the model. It manipulates the syncopation of midi “clips” by automatically de-syncopating and syncopating the midi notes.


Syncopation Transformations Meter Rhythm Generation Analysis 



This research was partly funded by the Media Arts and Technologies project (MAT), NORTE-07-0124-FEDER-000061, financed by the North Portugal Regional Operational Programme (ON.2 – O Novo Norte), under the National Strategic Reference Framework (NSRF), through the European Regional Development Fund (ERDF), and by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT).


  1. 1.
    Barlow, C.: Corrections for Clarence Barlow’s article: two essays on theory. Comput. Music J. 11(4), 10 (1987)MathSciNetGoogle Scholar
  2. 2.
    Barlow, C., Lohner, H.: Two essays on theory. Comput. Music J. 11(1), 44–60 (1987)CrossRefGoogle Scholar
  3. 3.
    Fitch, W.T., Rosenfeld, A.J.: Perception and production of syncopated rhythms. Music Percept. 25(1), 43–58 (2007)CrossRefGoogle Scholar
  4. 4.
    Gabrielsson, A.: Adjective ratings and dimension analyses of auditory rhythm patterns. Scand. J. Psychol. 14(4), 244–260 (1973)CrossRefGoogle Scholar
  5. 5.
    Gómez, F., Thul, E., Toussaint, G.: An experimental comparison of formal measures of rhythmic syncopation. In: Proceedings of the International Computer Music Conference, pp. 101–104 (2007)Google Scholar
  6. 6.
    Gómez, F., Melvin, A., Escuela, U.: Mathematical measures of syncopation. In: Proceedings of BRIDGES: Mathematical Connections in Art, Music and Science, pp. 73–84 (2005)Google Scholar
  7. 7.
    Huron, D.: Sweet Anticipation: Music and the Psychology of Expectation. The MIT Press, Cambridge (2006)Google Scholar
  8. 8.
    Huron, D., Ommen, A.: An empirical study of syncopation in American popular music, 1890–1939. Music Theory Spectr. 28(2), 211–231 (2006)CrossRefGoogle Scholar
  9. 9.
    Jones, M.R.: Musical time. In: Hallam, S., et al. (eds.) The Oxford Handbook of Music Psychology, pp. 81–92. Oxford University Press, Oxford (2009)Google Scholar
  10. 10.
    Keith, M.: From Polychords to Polya: Adventures in Musical Combinatorics. Vinculum Press, Princeton (1991)Google Scholar
  11. 11.
    Kennedy, M., Bourne, J. (eds.): Oxford Dictionary of Music. Oxford University Press, New York (1994)Google Scholar
  12. 12.
    Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. The MIT Press, Cambridge (1983)Google Scholar
  13. 13.
    London, J.: Hearing in Time. Oxford University Press, Oxford (2012)CrossRefGoogle Scholar
  14. 14.
    Longuet-Higgins, H.C., Lee, C.S.: The rhythmic interpretation of monophonic music. Music Percept. 1(4), 424–441 (1984)CrossRefGoogle Scholar
  15. 15.
    Miron, M., Davies, M., Gouyon, F.: An open-source drum transcription system for pure data and max MSP. In: The 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada (2013)Google Scholar
  16. 16.
    Palmer, C., Krumhansl, C.L.: Mental representations for musical meter. J. Exp. Psychol. 16(4), 728–741 (1990)Google Scholar
  17. 17.
    Parncutt, R.: A perceptual model of pulse salience and metrical accent in musical rhythms. Music Percept. 11(4), 409–464 (1994)CrossRefGoogle Scholar
  18. 18.
    Randel, D.M.: The Harvard Dictionary of Music. Belknap Press of Harvard University Press, Cambridge (1986)Google Scholar
  19. 19.
    Repp, B.H.: Rate limits of sensorimotor synchronization. Adv. Cogn. Psychol. 2(2–3), 163–181 (2006)CrossRefGoogle Scholar
  20. 20.
    Sioros, G., Miron, M., Cocharro, D., Guedes, G., Gouyon, F.: Syncopalooza: manipulating the syncopation in rhythmic performances. In: Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research, pp. 454–469. Laboratoire de Mécanique et d’Acoustique, Marseille (2013)Google Scholar
  21. 21.
    Sioros, G., Guedes, C.: A formal approach for high-level automatic rhythm generation. In: Proceedings of the BRIDGES 2011 – Mathematics, Music, Art, Architecture, Culture Conference, Coimbra, Portugal (2011)Google Scholar
  22. 22.
    Sioros, G., Guedes, C.: Complexity driven recombination of MIDI loops. In: Proceedings of the 12th International Society for Music Information Retrieval Conference, Miami, Florida, USA, pp. 381–386 (2011)Google Scholar
  23. 23.
    Temperley, D.: Syncopation in rock: a perceptual perspective. Pop. Music. 18(1), 19–40 (1999)CrossRefGoogle Scholar
  24. 24.
    Volk, A., de Haas, W.: A corpus-based study on ragtime syncopation. In: 14th International Society for Music Information Retrieval Conference, Curitiba, Brazil (2013)Google Scholar
  25. 25.
    Yeston, M.: The Stratification of Musical Rhythm. Yale University Press, New Haven (1976)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculdade de Engenharia da Universidade do PortoPortoPortugal
  2. 2.NYU Abu DhabiAbu DhabiUnited Arab Emirates

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