Correct Automatic Accompaniment Despite Machine Listening or Human Errors in Antescofo

Arshia Cont 1, 2 José Echeveste 1, 3 Jean-Louis Giavitto 1, 4 Florent Jacquemard 1, 3
1 MuTant - Synchronous Realtime Processing and Programming of Music Signals
Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6, IRCAM, CNRS - Centre National de la Recherche Scientifique
2 MuSync
STMS - Sciences et Technologies de la Musique et du Son, Inria Paris-Rocquencourt
4 Repmus - Représentations musicales
STMS - Sciences et Technologies de la Musique et du Son
Abstract : Automatic accompaniment systems are comprised of realtime score following systems that in reaction to recognition of events in a score from a human performer, launch necessary actions for the accompaniment section. While the realtime detection of score events out of live musicians' performance has been widely studied in the literature, score accompaniment (or the reactive part of the process) has been rarely addressed. In this paper, we expose the respective literature concerning this missing consideration. We show how its explicit design considerations would allow correct accompaniment despite machine listening or human errors introduced during score following, and furthermore how it enables a more elaborate authoring of time and interaction for mixed live electronic pieces.
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Communication dans un congrès
ICMC 2012 - International Computer Music Conference, Sep 2012, Ljubljana, Slovenia. 2012
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Soumis le : mercredi 18 juillet 2012 - 12:28:52
Dernière modification le : vendredi 25 mai 2018 - 12:02:07
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Arshia Cont, José Echeveste, Jean-Louis Giavitto, Florent Jacquemard. Correct Automatic Accompaniment Despite Machine Listening or Human Errors in Antescofo. ICMC 2012 - International Computer Music Conference, Sep 2012, Ljubljana, Slovenia. 2012. 〈hal-00718854〉

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