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Articles

Motion Analysis of Clarinet Performers

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Pages 97-111 | Received 07 Oct 2013, Accepted 13 May 2014, Published online: 03 Jul 2014

References

  • Barbosa, A., Déchaine, R., Vatikiotis-Bateson, E., & Yehia, H. (2012). Quantifying time-varying coordination of multimodal speech signals using correlation map analysis. Journal of the Acoustical Society of America, 131 (3), 2162–2172.
  • Barbosa, A., Yehia, H., & Vatikiotis-Bateson, E. (2008). Temporal characterization of auditory-visual coupling in speech. Proceedings of Meetings on Acoustics, 1, 1–14.
  • Campolina, T., Loureiro, M., & Mota, D. (2009). Expan: a tool for musical expressiveness analysis. In L. Nevada (Ed.), Proceedings of the 2nd International Conference of Students of Systematic Musicology (pp. 24–27). Ghent: IPEM - Institute for Psychoacoustics and Electronic Music.
  • Camurri, A., Mazzarino, B., Ricchetti, M., Timmers, R., & Volpe, G. (2004). Multimodal analysis of expressive gesture in music and dance performances. In A. Camurri, & G. Volpe (Eds.), Gesture-based communication in human-computer interaction (pp. 20–39). Berlin: Springer.
  • Caramiaux, B., Wanderley, M., & Bevilacqua, F. (2012). Segmenting and parsing instrumentalists’ gestures. Journal of New Music Research, 41 (1), 13–29.
  • Dahl, S., & Friberg, A. (2007). Visual perception of expressiveness in musicians’ body movements. Music Perception, 24 (5), 433–454.
  • Davidson, J. W. (1993). Visual perception and performance manner in the movements of solo musicians. Psychology of Music, 21, 103–113.
  • Davidson, J. W. (1994). What type of information is conveyed in the body movements of solo musician performers? Journal of Human Movement Studies, 6, 279–301.
  • De Poli, G., Canazza, S., Drioli, C., Rodà, A., & Vidolin, A. (2004). Modeling and control of expressiveness in music performance. Proceedings of the IEEE, 92 (4), 686–701.
  • Desmet, F., Nijs, L., Demey, M., Lesaffre, M., Martens, J., & Leman, M. (2012). Assessing a clarinet player’s performer gestures in relation to locally intended musical targets. Journal of New Music Research, 41 (1), 31–48.
  • Fenza, D., Mion, L., Canazza, S. & Rodà, A. (2005). Physical movement and musical gestures: A multilevel mapping stategy. Proceedings of Sound and Music Computing (pp. 1-6). Available from http://smcnetwork.org/resources/smc2005
  • Gabrielsson, A. (1995). Expressive intention and performance. Steiner, (Ed.), Music and the mind machine (pp. 35–47). Berlin: Springer.
  • Juslin, P. (1997). Emotional communication in music performance: A functionalist perspective and some data. Music Perception, 14, 383–418.
  • Juslin, P. (2000). Cue utilization in communication of emotion in music performance: Relating performance to perception. Journal of Experimental Psychology: Human Perception and Performance, 26, 1797–1813.
  • Maestre, E. & Gómez, E. (2005). Automatic characterization of dynamics and articulation of expressive monophonic recordings. Audio Engineering Society 118th Convention Paper 8. (http://www.aes.org/e-lib/browse.cfm?elib=13080). New York: Audio Engineering Society (AES).
  • McNeill, D. (2007). Gesture and thought. Chicago: University Of Chicago Press.
  • Naveda, L., & Leman, M. (2009). A cross-modal heuristic for periodic pattern analysis of samba music and dance. Journal of New Music Research, 38 (3), 255–283.
  • Rasamimanana, N. (2012). Towards a conceptual framework for exploring and modelling expressive musical gestures. Journal of New Music Research, 41 (1), 3–12.
  • Senin, P. (2008). Dynamic time warping algorithm review. Honolulu, USA: Information and Computer Science Department, University of Hawaii.
  • Teixeira, E., Loureiro, M. & Yehia, H. (2010). Methodological aspects of the research in musical expressiveness based on corporal movement information. Unpublished Report. Retrieved from http://hal.archives-ouvertes.fr/hal-00611660/en/
  • Varni, G., Volpe, G., & Camurri, A. (2010). A system for real-time multimodal analysis of nonverbal affective social interaction in user-centric media. IEEE Transactions on Multimedia, 12(6), 576–590.
  • Vines, B., Dalca, I. & Wanderley, M. (2006). Variation in expressive physical gestures of clarinetists. Baroni, M., Addessi, A.R., Caterina, R. & Costa, M. eds. Proceedings of the 9th International Conference on Music Perception and Cognition (pp. 1721–1722). New York: The Society for Music Perception & Cognition (SMPC) and Jyväskylä: European Society for the Cognitive Sciences of Music (ESCOM).
  • Vines, B., Krumhansl, C., Wanderley, M., & Levitin, D. (2006). Cross-modal interactions in the perception of musical performance. Cognition, 101, 80–113.
  • Wanderley, M. (2002). Quantitative analysis of non-obvious performer gestures. In I. Wachsmuth, & T. Sowa (Eds.), Gesture and sign language in human-computer interaction (pp. 241–253). Berlin: Springer.
  • Wanderley, M., Vines, B., Middleton, N., McKay, C., & Hatch, W. (2005). The musical significance of clarinetists’ ancillary gestures: An exploration of the field. Journal of New Music Research, 34 (1), 97–113.

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