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Syncopation as Transformation

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Sound, Music, and Motion (CMMR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8905))

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Abstract

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.

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Notes

  1. 1.

    Alternatively we could have encoded the transformation as the pair of pulses, the initial pulse of the onset and the pulse it is shifted to. This way of encoding correctly describes the particular transformation. However, as it will become apparent in the following, using the level differences is a more general and more flexible representation.

  2. 2.

    The duration of the beat is offset by a single pulse to what commonly is considered the duration of the beat (Fig. 7). The beat duration here ends ON the beat and includes all preceding pulses between the current and the previous beat.

  3. 3.

    In order for the end pattern to be the same, all transformations in a given permutation must result in the shift of an event, i.e. the permutation should not result in forbidden or blocked transformations.

References

  1. Barlow, C.: Corrections for Clarence Barlow’s article: two essays on theory. Comput. Music J. 11(4), 10 (1987)

    MathSciNet  Google Scholar 

  2. Barlow, C., Lohner, H.: Two essays on theory. Comput. Music J. 11(1), 44–60 (1987)

    Article  Google Scholar 

  3. Fitch, W.T., Rosenfeld, A.J.: Perception and production of syncopated rhythms. Music Percept. 25(1), 43–58 (2007)

    Article  Google Scholar 

  4. Gabrielsson, A.: Adjective ratings and dimension analyses of auditory rhythm patterns. Scand. J. Psychol. 14(4), 244–260 (1973)

    Article  Google Scholar 

  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. 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. Huron, D.: Sweet Anticipation: Music and the Psychology of Expectation. The MIT Press, Cambridge (2006)

    Google Scholar 

  8. Huron, D., Ommen, A.: An empirical study of syncopation in American popular music, 1890–1939. Music Theory Spectr. 28(2), 211–231 (2006)

    Article  Google Scholar 

  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. Keith, M.: From Polychords to Polya: Adventures in Musical Combinatorics. Vinculum Press, Princeton (1991)

    Google Scholar 

  11. Kennedy, M., Bourne, J. (eds.): Oxford Dictionary of Music. Oxford University Press, New York (1994)

    Google Scholar 

  12. Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. The MIT Press, Cambridge (1983)

    Google Scholar 

  13. London, J.: Hearing in Time. Oxford University Press, Oxford (2012)

    Book  Google Scholar 

  14. Longuet-Higgins, H.C., Lee, C.S.: The rhythmic interpretation of monophonic music. Music Percept. 1(4), 424–441 (1984)

    Article  Google Scholar 

  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. Palmer, C., Krumhansl, C.L.: Mental representations for musical meter. J. Exp. Psychol. 16(4), 728–741 (1990)

    Google Scholar 

  17. Parncutt, R.: A perceptual model of pulse salience and metrical accent in musical rhythms. Music Percept. 11(4), 409–464 (1994)

    Article  Google Scholar 

  18. Randel, D.M.: The Harvard Dictionary of Music. Belknap Press of Harvard University Press, Cambridge (1986)

    Google Scholar 

  19. Repp, B.H.: Rate limits of sensorimotor synchronization. Adv. Cogn. Psychol. 2(2–3), 163–181 (2006)

    Article  Google Scholar 

  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. 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. 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. Temperley, D.: Syncopation in rock: a perceptual perspective. Pop. Music. 18(1), 19–40 (1999)

    Article  Google Scholar 

  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. Yeston, M.: The Stratification of Musical Rhythm. Yale University Press, New Haven (1976)

    Google Scholar 

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Acknowledgments

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).

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Correspondence to George Sioros .

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Sioros, G., Guedes, C. (2014). Syncopation as Transformation. In: Aramaki, M., Derrien, O., Kronland-Martinet, R., Ystad, S. (eds) Sound, Music, and Motion. CMMR 2013. Lecture Notes in Computer Science(), vol 8905. Springer, Cham. https://doi.org/10.1007/978-3-319-12976-1_39

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  • DOI: https://doi.org/10.1007/978-3-319-12976-1_39

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