Composing and Improvising. In Real Time

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a summary of my keynote address discussing the differences between real-time composition (RTC) and improvisation. A definition of real-time composition is presented, as well as a summary discussion of its theoretical framework. Finally, a comparison between RTC and improvisation is done taking into account Richard Ashley’s discussion of improvisation from a psychological perspective [1], which provides an interesting insight in this distinction. RTC is then redefined as improvised composition with computers, and the possibilities of RTC existing outside of computer music are also briefly addressed.

Original languageEnglish (US)
Title of host publicationMusic Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers
EditorsMatthew E.P. Davies, Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad
PublisherSpringer Verlag
Pages445-453
Number of pages9
ISBN (Print)9783030016913
DOIs
StatePublished - 2018
Event13th international Symposium on Computer Music Multidisciplinary Research, CMMR 2017 - Matosinhos, Portugal
Duration: Sep 25 2017Sep 28 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11265 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th international Symposium on Computer Music Multidisciplinary Research, CMMR 2017
CountryPortugal
CityMatosinhos
Period9/25/179/28/17

Keywords

  • Composition
  • Improvisation
  • Real-time composition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Guedes, C. (2018). Composing and Improvising. In Real Time. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet, & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 445-453). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11265 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-01692-0_29