The musical expression project: A challenge for machine learning and knowledge discovery

Abstract

This paper reports on a long-term inter-disciplinary research project that aims at analysing the complex phenomenon of expressive music performance with machine learning and data mining methods. The goals and general research framework of the project are briefly explained, and then a number of challenges to machine learning (and also to computational music analysis) are discussed that arise from the complexity and multi-dimensionality of the musical phenomenon being studied. We also briefly report on first experiments that address some of these issues.