"Leçons" : An Approach to a System for Machine Learning, Improvisation and Musical Performance

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationComputer Music Modeling and Retrieval
Subtitle of host publicationInternational Symposium, CMMR 2003. Revised Papers
EditorsUffe Kock Wiil
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages210-216
Number of pages7
ISBN (electronic)978-3-540-39900-1
ISBN (print)978-3-540-20922-5
Publication statusPublished - May 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume2771
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

TitleComputer Music Modeling and Retrieval Symposium (CMMR 2003)
LocationCNRS/Université de Montpellier II
PlaceFrance
CityMontpellier
Period26 - 27 May 2003

Abstract

This paper aims at describing an approach to the music performance situation as a laboratory for investigating interactivity. I would like to present “Leçons pour un apprenti sourd-muet”, where the basic idea is that of two improvisers, a saxophonist and a computer, engaged in a series of musical questions and responses. The situation is inspired from the Japanese shakuhachi tradition, where imitating the master performer is a prime element in the apprentice's learning process. Through listening and imitation, the computer's responses get closer to that of its master for each turn. In this sense, the computer's playing emanates from the saxophonist's phrases and the interactivity in "Leçons" happens on the level of the composition.

Citation Format(s)

"Leçons": An Approach to a System for Machine Learning, Improvisation and Musical Performance. / Lindborg, PerMagnus.
Computer Music Modeling and Retrieval: International Symposium, CMMR 2003. Revised Papers. ed. / Uffe Kock Wiil. Berlin, Heidelberg: Springer, 2003. p. 210-216 (Lecture Notes in Computer Science; Vol. 2771).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review