“Leçons”: an Approach to a System for Machine Learning, Improvisation and Musical Performance
Date of Issue2004
School of Art, Design and Media
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.
Lecture Notes in Computer Science
© 2004 Springer Berlin Heidelberg. This is the author created version of a work that has been peer reviewed and accepted for publication by Lecture Notes in Computer Science, Springer Berlin Heidelberg. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-3-540-39900-1_18].