skip to main content
10.1145/1279740.1279760acmotherconferencesArticle/Chapter ViewAbstractPublication PagesnimeConference Proceedingsconference-collections
Article

Live coding practice

Published:06 June 2007Publication History

ABSTRACT

Live coding is almost the antithesis of immediate physical musicianship, and yet, has attracted the attentions of a number of computer-literate musicians, as well as the music-savvy programmers that might be more expected. It is within the context of live coding that I seek to explore the question of practising a contemporary digital musical instrument, which is often raised as an aside but more rarely carried out in research (though see [12]). At what stage of expertise are the members of the live coding movement, and what practice regimes might help them to find their true potential?

References

  1. Andrews, R. Real DJs code live. Wired: Technology News, 6 July 2006. http://www.wired.com/news/technology/0,71248-0.htmlGoogle ScholarGoogle Scholar
  2. Blackwell, A. and Collins, N. The programming language as a musical instrument. In Proceedings of PPIG05 (Psychology of Programming Interest Group), 2005.Google ScholarGoogle Scholar
  3. Brown, A. R. Code jamming. M/C Journal 9, 6, 2006. http://journal.media-culture.org.au/0612/03-brown.phpGoogle ScholarGoogle ScholarCross RefCross Ref
  4. Collins, N., McLean, A., Rohrhuber, J., and Ward, A. Live coding techniques for laptop performance. Organised Sound. 8, 3 (2003), 321--330. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Deliège, I., and Sloboda, J. (eds.) Musical Beginnings: Origins and Development of Musical Competence. Oxford University Press, New York, 1996.Google ScholarGoogle Scholar
  6. Green, L. How Popular Musicians Learn. Ashgate, Burlington, VT, 2002.Google ScholarGoogle Scholar
  7. Ericsson, K. A., and Lehmann, A. C. Expert and exceptional performance: evidence of maximal adaptation to task. Annual Review of Psychology, 47, 1996, 273--305.Google ScholarGoogle ScholarCross RefCross Ref
  8. MacNamara, Á., Holmes, P., and Collins, D. The pathway to excellence: the role of psychological characteristics in negotiating the challenges of musical development. British Journal of Music Education, 23, 2006, 285--302.Google ScholarGoogle ScholarCross RefCross Ref
  9. McLean, A. Hacking Perl in nightclubs. 2004. http://www.perl.com/pub/a/2004/08/31/livecode.htmlGoogle ScholarGoogle Scholar
  10. Nielsen, S. G. Learning strategies in instrumental music practice. British Journal of Music Education, 16, 3 (2006), 275--91.Google ScholarGoogle Scholar
  11. Norvig, P. Teach Yourself Programming in Ten Years. 2001. http://norvig.com/21-days.htmlGoogle ScholarGoogle Scholar
  12. Oore, S. Learning advanced skills on new instruments (or practising scales and arpeggios on your NIME). In Proceedings of NIME, 2005, 60--65 Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Rohrhuber, J., de Campo, A., Wieser, R. Algorithms today - notes on language design for just in time programming. In Proceedings of the International Computer Music Conference, Barcelona, 2005.Google ScholarGoogle Scholar
  14. Rosenbaum, D. A., Carlson, R. A., Gilmore, R. O. Acquisition of intellectual and perceptual-motor skills. Annual Review of Psychology 52, 2001, 453--70.Google ScholarGoogle ScholarCross RefCross Ref
  15. Sloboda J. A. Individual differences in music performance. Trends in Cognitive Sciences, 4, 10 (Oct. 2000), 397--403Google ScholarGoogle ScholarCross RefCross Ref
  16. Sloboda, J. The Musical Mind: The Cognitive Psychology of Music. Oxford University Press, New York, 1985 (2004 reprint)Google ScholarGoogle Scholar
  17. Sorensen, A. Impromptu: an interactive programming environment for composition and performance. In Proceedings of the Australasian Computer Music Conference, 2005, 149--153.Google ScholarGoogle Scholar
  18. VanLehn, K. Cognitive skill acquisition. Annual Review of Psychology 47, 1996, 513--39.Google ScholarGoogle ScholarCross RefCross Ref
  19. Wang, G. and Cook, P. On-the-fly programming: using code as an expressive musical instrument. In Proceedings of the NIME, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Ward, A., Rohrhuber, J., Olofsson, F., McLean, A., Griffiths, D., Collins, N., and Alexander, A. Live algorithm programming and a temporary organisation for its promotion. In Proceedings of the README Software Art Conference, Aarhus, Denmark, 2004.Google ScholarGoogle Scholar

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
  • Published in

    cover image ACM Other conferences
    NIME '07: Proceedings of the 7th international conference on New interfaces for musical expression
    June 2007
    484 pages
    ISBN:9781450378376
    DOI:10.1145/1279740
    • Conference Chairs:
    • Carol Parkinson,
    • Eric Singer

    Copyright © 2007 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 6 June 2007

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • Article

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader