On Gestural Variation and Coarticulation Effects in Sound Control

  • Tommaso Bianco
  • Vincent Freour
  • Nicolas Rasamimanana
  • Frederic Bevilaqua
  • René Caussé
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5934)


In this paper we focus on the analysis of sound producing gestures in the musical domain. We investigate the behavior of intraoral pressure exerted by a trumpet performer in the production of single and concatenated notes. Investigation is carried out with functional data analysis techniques. Results show that different variation patterns occur for single note production, which depend on dynamic level, suggesting the hypothesis that two different motor control programs are available. Results from analysis on consecutive notes give evidence that the coarticulation between two gesture curves cannot be modelled by linear superposition, and that local coarticulation is affected by contiguous units.


coarticulation music performance gesture synthesis anticipation motor program functional statistical analysis 


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  1. 1.
    Hardcastle, W.J., Hewlett, N.: Coarticulation: theory, data, and techniques. Cambridge University Press, Cambridge (1999)Google Scholar
  2. 2.
    Gineke, T.H., Hendriks, P., Andringa, T.: Why don’t you see what i mean? prospects and limitations of current automatic sign recognition research. Sign Language Studies 6(4), 416–437 (2006)CrossRefGoogle Scholar
  3. 3.
    Farnetani, E.: Coarticulation and connected speech process (1999)Google Scholar
  4. 4.
    Fowler, C.: Coarticulation and theories of extrinsic timing control. Journal of Phonetics 8, 113–133 (1980)Google Scholar
  5. 5.
    Engel, K., Flanders, M., Soechting, J.: Anticipatory and sequential motor control in piano playing. Experimental brain research 113(2), 189–199 (1997)CrossRefGoogle Scholar
  6. 6.
    Loehr, J., Palmer, C.: Cognitive and biomechanical influences in pianists’ finger tapping. Experimental brain research 178(4), 518–528 (2007)CrossRefGoogle Scholar
  7. 7.
    Dahl, S.: The playing of an accent - preliminary observations from temporal and kinematic analysis of percussionists. Journal of New Music Research 29(3), 225–234 (2000)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Rasamimanana, N.H., Bevilacqua, F.: Effort-based analysis of bowing movements: evidence of anticipation effects. The Journal of New Music Research (2009) (in press)Google Scholar
  9. 9.
    Gody, R., Jensenius, A., Nymoen, K.: Production and perception of goal-points and coarticulations in music. In: Proceedings of Acoustics 2008 (2008)Google Scholar
  10. 10.
    Fletcher, N.H., Tarnopolsky, A.: Blowing pressure, power, and spectrum in trumpet playing. Journal of Acoutical Society of America 105(2), 874–881 (1999)CrossRefGoogle Scholar
  11. 11.
    Bouhuys, A.: Lung volumes and breathing patterns in wind-instrument players. Journal of Applied Physiology 19(1), 967–975 (1964)Google Scholar
  12. 12.
    Campbell, M., Bromage, S., Chick, J.: Attack transients on lip reed instruments. Journal of Acoustical Society of America 117(4), 2477 (2005)Google Scholar
  13. 13.
    White, E., Basmajian, J.: Electromyography of lip muscles and their role in trumpet playing. Journal of Applied Physiology 35(6), 892–897 (1973)Google Scholar
  14. 14.
    Berger, K.: Electromyographic recording during wind instrument performance. Annals of the New York Academy of Sciences 155(1), 297–302 (1968)CrossRefGoogle Scholar
  15. 15.
    Merriman, L.C., Meidt, J.A.: A cinefluorographic investigation of brass instrument performance. Journal of Research in Music Education 16(1), 31–38 (1968)CrossRefGoogle Scholar
  16. 16.
    Cooper, G., Meyer, L.B.: The Rhythmic Structure of Music. University of Chicago Press, Chicago (1960)Google Scholar
  17. 17.
    Ramsay, J.O., Silverman, B.W.: Functional Data Analysis. Springer, Heidelberg (2005)Google Scholar
  18. 18.
    Ramsay, J., Hooker, G., Graves, S.: Functional Data Analysis with R and MATLAB. Springer, Heidelberg (2009)zbMATHCrossRefGoogle Scholar
  19. 19.
    Koenig, L.L., Lucero, J.C., Perlman, E.: Speech production variability in fricatives of children and adults: results of functional data analysis. The Journal of the Acoustical Society of America 124(5), 3158–3170 (2008)CrossRefGoogle Scholar
  20. 20.
    Yan, J.H., Thomas, J.R., Stelmach, G.E., Thomas, K.T.: Developmental features of rapid aiming arm movements across the lifespan. Journal of Motor Behavior 32(2), 121–140 (2000)CrossRefGoogle Scholar
  21. 21.
    Coward, H.: Choral Technique and Interpretation. H.W. Gray (1914)Google Scholar
  22. 22.
    Bizzi, E., Giszterb, S.F., Loeba, E., Mussa Ivaldi, F.A., Saltiela, P.: Modular organization of motor behavior in the frog’s spinal cord. Trends in Neurosciences 18(10), 442–446 (1995)CrossRefGoogle Scholar
  23. 23.
    Bizzi, E., d Avella, A., Saltiel, P., Tresch, M.: Modular organization of spinal motor systems. The Neuroscientist 8(5), 437–442 (2002)CrossRefGoogle Scholar
  24. 24.
    Ramsay, J.O., Munhall, K.G., Gracco, V.L., Ostry, D.J.: Functional data analyses of lip motion. Journal of Acoustical Society of America 99(6), 3718–3727 (1996)CrossRefGoogle Scholar
  25. 25.
    Sanger, T.D.: Human arm movements described by a low-dimensional superposition of principal component. The Journal of Neuroscience 20, 1066–1072 (2000)Google Scholar
  26. 26.
    Kazutoshi, K., Tatsuyuki, O.: Adaptive variability in skilled human movements. Information and Media Technologies 3(2), 409–420 (2008)Google Scholar
  27. 27.
    Darling, W., Cooke, W.G.: Movement related emgs become more variable during learning of fast accurate movements. Journal of Motor Behavior 19(3), 311–331 (1987)Google Scholar
  28. 28.
    Bouhuys, A.: Airflow control by auditory feedback: Respiratory mechanics and wind instruments. Science 154(750), 797–799 (1966)CrossRefGoogle Scholar
  29. 29.
    Palmer, C.: Nature of memory for music performance skills, pp. 39–53 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tommaso Bianco
    • 1
  • Vincent Freour
    • 1
  • Nicolas Rasamimanana
    • 1
  • Frederic Bevilaqua
    • 1
  • René Caussé
    • 1
  1. 1.IRCAM UMR STMSFrance

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