skip to main content
10.5555/1142215.1142283guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article
Free Access

The 'E' in NIME: musical expression with new computer interfaces

Published:04 June 2006Publication History

ABSTRACT

Is there a distinction between New Interfaces for Musical Expression and New Interfaces for Controlling Sound? This article begins with a brief overview of expression in musical performance, and examines some of the characteristics of effective "expressive" computer music instruments. It becomes apparent that sophisticated musical expression requires not only a good control interface but also virtuosic mastery of the instrument it controls. By studying effective acoustic instruments, choosing intuitive but complex gesture-sound mappings that take advantage of established instrumental skills, designing intelligent characterizations of performance gestures, and promoting long-term dedicated practice on a new interface, computer music instrument designers can enhance the expressive quality of computer music performance.

References

  1. Arcos, J. and Lopez de Mántaras, R. "AI and music from composition to expressive performance". AI Magazine 23:3, pp. 43--57, Menlo Park, CA: American Association for Artificial Intelligence, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Arcos, J. and Lopez de Mántaras, R. "An Interactive Case-Based Reasoning Approach for Generating Expressive Music". Applied Intelligence 14:1, pp. 115--129. Boston: Kluwer, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Arcos, J., Lopez de Mantaras, R., and Serra, X. "SAXEX: A Case-Based Reasoning System for Generating Expressive Musical Performances". Journal of New Music Research 27:3, pp. 194--210. New York: Routledge, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  4. Baker, N., Paddison, M., and Scruton, R. "Expression", in Sadie, Stanley and Tyrell, John, eds. The New Grove Dictionary of Music and Musicians, second edition. London: Macmillan Publishers Limited, 2001.Google ScholarGoogle Scholar
  5. Bevilacqua, F., J. Ridenour, and D. Cuccia, "Mapping Music to Gesture: A study using 3D motion capture data", Proceedings of the Workshop/Symposium on Sensing and Input for Media-centric Systems, Santa Barbara CA, 2002.Google ScholarGoogle Scholar
  6. Cadoz, C. and Wanderley, M. "Gesture-Music". Trends in Gestural Control of Music. Paris: IRCAM, 2000.Google ScholarGoogle Scholar
  7. Canazza, S., De Poli, G., Roda, A., and Vidolin, A. "Analysis and Synthesis of Expressive Intention in a Clarinet Performance". Proceedings of the 1997 International Computer Music Conference, pp. 113--120. San Francisco: International Computer Music Association, 1997.Google ScholarGoogle Scholar
  8. Chew, E., François, A., Liu, J., and Yang, A. "ESP: A Driving Interface for Expression Synthesis". Proceedings of the 2005 Conference on New Interfaces for Musical Expression (NIME05), Vancouver, BC, Canada, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Cooke, D. The Language of Music. Oxford: Oxford University Press, 1959.Google ScholarGoogle Scholar
  10. Dannenberg, R. B., and Derenyi, I. "Combining Instrument and Performance Models for High-Quality Music Synthesis". Journal of New Music Research 27:3, pp. 211--238. New York: Routledge, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  11. Dobrian, C. "Strategies for Continuous Pitch and Amplitude Tracking in Realtime Interactive Software". Proceedings of the 2004 conference on Sound and Music Computing (SMC04), Paris: IRCAM, 2004.Google ScholarGoogle Scholar
  12. Dobrian, C. and Bevilacqua, F. "Gestural Control of Music Using the Vicon 8 Motion Capture System". Proceedings of the 2003 Conference on New Interfaces for Musical Expression (NIME03), Montréal, Québec, Canada, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Fels, S., Gadd, A., and Mulder, A. "Mapping transparency through metaphor: towards more expressive musical instruments". Organised Sound 7:2, 109--126. Cambridge: Cambridge University Press, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Friberg, A. A Quantitative Rule System for Musical Performance. Ph.D. dissertation, Department of Speech, Music and Hearing, Royal Institute of Technology, Stockholm, Sweden. 1995.Google ScholarGoogle Scholar
  15. http://www.webster.com/dictionary/expressionGoogle ScholarGoogle Scholar
  16. http://www.webster.com/dictionary/expressiveGoogle ScholarGoogle Scholar
  17. http://www.webster.com/dictionary/virtuosityGoogle ScholarGoogle Scholar
  18. Hunt, A. and Kirk, R. "Mapping Strategies for Musical Performance". Trends in Gestural Control of Music. Paris: IRCAM, 2000.Google ScholarGoogle Scholar
  19. Jordà Puig, S. Digital Lutherie: Crafting musical computers for new musics' performance and improvisation. Ph.D. dissertation, Barcelona: Departament de Tecnologia, Universitat Pompeu Fabra, 2005.Google ScholarGoogle Scholar
  20. Marrin, T. Inside the Conductor's Jacket: Analysis, Interpretation and Musical Synthesis of Expressive Gesture. Ph.D thesis, Cambridge, MA: Massachusetts Institute of Technology, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Momeni, A. and Wessel, D. "Characterizing and Controlling Musical Materials Intuitively with Geometric Models". Proceedings of the 2003 Conference on New Interfaces for Musical Expression (NIME03), Montreal, Québec, Canada, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Poepel, C. "On Interface Expressivity: A Player-Based Study". Proceedings of the 2005 Conference on New Interfaces for Musical Expression (NIME05), Vancouver, BC, Canada, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Rovan, J., Wanderley, M., Dubnov, S., and Depalle, P. "Instrumental Gestural Mapping Strategies as Expressivity Determinants in Computer Music Performance". Paris: IRCAM, 1997.Google ScholarGoogle Scholar
  24. Schloss, W. A. Using Contemporary Technology in Live Performance: The Dilemma of the Performer". Journal of New Music Research, 32:3, pp. 239--242. New York: Routledge, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  25. Searle, John. "Minds, Brains, and Programs". The Behavioral Brain Sciences, vol 3., pp. 417--424. Cambridge: Cambridge University Press, 1980.Google ScholarGoogle Scholar
  26. Turing, Alan M. "Computing Machinery and Intelligence". Mind, 59:236, 1950.Google ScholarGoogle Scholar
  27. Wanderley, M. "Gestural Control of Music" Proceedings of the International Workshop on Human Supervision and Control in Engineering and Music. pp. 101--130. Kassel, Germany, 2001.Google ScholarGoogle Scholar
  28. Wanderley, M. and Battier, M. (eds). Trends in Gestural Control of Music. Paris: IRCAM, 2000.Google ScholarGoogle Scholar

Index Terms

  1. The 'E' in NIME: musical expression with new computer interfaces
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader