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Conference Papers Year : 2018

From Motion to Musical Gesture: Experiments with Machine Learning in Computer-Aided Composition

Abstract

This paper presents preliminary works exploring the use of machine learning in computer-aided composition processes. We propose a work direction using motion recognition and audio descriptors to learn abstract musical gestures.
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Dates and versions

hal-01815988 , version 1 (14-06-2018)

Identifiers

  • HAL Id : hal-01815988 , version 1

Cite

Jean Bresson, Paul Best, Diemo Schwarz, Alireza Farhang. From Motion to Musical Gesture: Experiments with Machine Learning in Computer-Aided Composition. MUME 2018: International Workshop on Musical Metacreation, 2018, Salamanca, Spain. ⟨hal-01815988⟩
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