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Leçons : an Approach to a System for Machine Learning, Improvisation and Music Performance
Nanyang Technological University, Singapore.ORCID iD: 0000-0001-8121-9263
2003 (English)In: Computer Music Modeling and Retreival: International Symposium, CMMR 2003, Springer-Verlag New York, 2003Chapter in book (Refereed)
Abstract [en]

This paper aims at describing an approach to the music performancesituation as a laboratory for investigating interactivity. I would like to present“Leçons pour un apprenti sourd-muet” 1, where the basic idea isthat of two improvisers, a saxophonist and a computer, engaged in a seriesof musical questions and responses. The situation is inspired fromthe Japanese shakuhachi tradition, where imitating the master performeris a prime element in the apprentice’s learning process. Through listeningand imitation, the computer’s responses get closer to that of its master foreach turn. In this sense, the computer’s playing emanates from the saxophonist’sphrases and the interactivity in “Leçons” takes place on thelevel of the composition.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2003.
Keyword [en]
interactive, music, Markov chain, invention, artificial creativity, saxophone, computer music
National Category
Media Engineering Interaction Technologies Music
Research subject
Art, Technology and Design
URN: urn:nbn:se:kth:diva-177666ISBN: 3-540-20922-0OAI: diva2:874046

NR 20160229

Available from: 2015-11-25 Created: 2015-11-25 Last updated: 2016-02-29Bibliographically approved

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Lindborg, PerMagnus
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