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Assessing the Influence of Constraints on Cellists’ Postural Displacements and Musical Expressivity

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Music, Mind, and Embodiment (CMMR 2015)

Abstract

This article presents the preliminary results from an experiment investigating the influence of cellists’ ancillary gestures on their musical expressivity. Seven professional cellists were asked to play a score while their movements were recorded by a force platform (on which they were seated) and a 3D motion capture system for joint kinematics. Specific torso and head contributions to their global postural displacements were analyzed through the use of 4 playing conditions: (a) a normal condition without any constraints, (b) a mentally static condition where the cellists were asked to keep their posture as static as possible, (c) a physically semi-constrained condition where the cellists’ torso was attached to the back of a chair by a safety race harness, and (d) a physically fully constrained condition where the cellists wore a neck collar in addition to the race harness to limit their head movements. We here investigate the influence of these constraints on global postural features computed from the force platform data, and on fundamental acoustical features linked to musical expressivity for one cellist. The first results reveal that the cellists’ immobilization conditions give rise to different postural adaptation strategies depending on the torso-head coupling, and alter significantly the expressive intentions through changes in spectro-temporal features and rhythmical variations of the produced sounds.

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References

  1. Askenfelt, A., Guettler, K.: Bows and timbre-myth or reality. In: Proceedings of the International Symposium of Musical Acoustics, Perugia (2001)

    Google Scholar 

  2. Barthet, M., Kronland-Martinet, R., Ystad, S.: Improving musical expressiveness by time-varying brightness shaping. In: Kronland-Martinet, R., Ystad, S., Jensen, K. (eds.) CMMR 2007. LNCS, vol. 4969, pp. 313–336. Springer, Heidelberg (2008)

    Google Scholar 

  3. Cadoz, C., Wanderley, M.: Gesture-music. In: Wanderley, M., Battier, M. (eds.) Trends in Gestural Control of Music. IRCAM - Centre Pompidou, Paris (2000)

    Google Scholar 

  4. Chadefaux, D., Lecarrou, J.L., Wanderley, M.M., Fabre, B., Daudet, L.: Gestural strategies in the harp performance. Acta Acustica United Acustica 99(6), 986–996 (2013)

    Article  Google Scholar 

  5. Chudy, M., Carrillo, A.P., Dixon, S.: On the relation between gesture, tone production and perception in classical cello performance. In: Proceedings of Meetings on Acoustics, vol. 19, p. 035017. Acoustical Society of America (2013)

    Google Scholar 

  6. De Poli, G., Roda, A., Vidolin, A.: Note-by-note analysis of the influence of expressive intentions and musical structure in violin performance. J. New Music Res. 27(3), 293–321 (1998)

    Article  Google Scholar 

  7. DeAlcantera, P.: The alexander technique: a practical lesson. http://pedrodealcantara.com/practical-lesson/

  8. Desmet, F., Nijs, L., Demey, M., Lesaffre, M., Martens, J.P., Leman, M.: Assessing a clarinet player’s performer gestures in relation to locally intended musical targets. J. New Music Res. 41(1), 31–48 (2012)

    Article  Google Scholar 

  9. Hong, J.L.: Investigating expressive timing and dynamics in recorded cello performances. Psychol. Music 31(3), 340–352 (2003)

    Article  Google Scholar 

  10. Kim, H.G., Moreau, N., Sikora, T.: MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval. Wiley, Hoboken (2006)

    Google Scholar 

  11. Lartillot, O., Toiviainen, P.: A matlab toolbox for musical feature extraction from audio. In: Proceedings of the International Conference on Digital Audio Effects, pp. 237–244 (2007)

    Google Scholar 

  12. Leman, M.: Embodied Music Cognition and Mediation Technology. MIT Press, Cambridge (2008)

    Google Scholar 

  13. Peeters, G.: A large set of audio features for sound description (similarity and classification) in the cuidado project. Technical report, IRCAM (2004)

    Google Scholar 

  14. Pollard, H.F., Jansson, E.V.: A tristimulus method for the specification of musical timbre. Acta Acustica United Acustica 51(3), 162–171 (1982)

    Google Scholar 

  15. Thompson, M.R., Luck, G.: Exploring relationships between pianists’ body movements, their expressive intentions, and structural elements of the music. Musicae Sci. 16(1), 19–40 (2012)

    Article  Google Scholar 

  16. Visi, F., Coorevits, E., Miranda, E., Leman, M.: Effects of Different Bow Stroke Styles on Body Movements of a Viola Player: An Exploratory Study. Michigan Publishing, University of Michigan Library, Ann Arbor (2014)

    Google Scholar 

  17. Wanderley, M.M.: Quantitative analysis of non-obvious performer gestures. In: Wachsmuth, I., Sowa, T. (eds.) GW 2001. LNCS (LNAI), vol. 2298, pp. 241–253. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  18. Wanderley, M.M., Vines, B.W., Middleton, N., McKay, C., Hatch, W.: The musical significance of clarinetists’ ancillary gestures: an exploration of the field. J. New Music Res. 34(1), 97–113 (2005)

    Article  Google Scholar 

  19. Winold, H., Thelen, E.: Coordination and control in the bow arm movements of highly skilled cellists. Ecol. Psychol. 6(1), 1–31 (1994)

    Article  Google Scholar 

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Acknowledgements

This work is partly supported by the French National Research Agency and is part of the Sonimove project (ANR-14-CE24-0018).

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Correspondence to Jocelyn Rozé .

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Rozé, J. et al. (2016). Assessing the Influence of Constraints on Cellists’ Postural Displacements and Musical Expressivity. In: Kronland-Martinet, R., Aramaki, M., Ystad, S. (eds) Music, Mind, and Embodiment. CMMR 2015. Lecture Notes in Computer Science(), vol 9617. Springer, Cham. https://doi.org/10.1007/978-3-319-46282-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-46282-0_2

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