An Instance Based Model for Generating Expressive Performance during Composition

We detail our work on a multi-agent model for the generation of structurally expressive music performance. It is a combined performance and composition system which attempts to implement the common observation in expressive music performance studies that performers slow down at boundaries in a musical piece, with the amount of slowing down being larger when the boundary is more significant. Because the model combines expressive performance with composition at a low enough level it is able to express group boundaries in an accurate and efficient way with no need for complex musical analysis; and this even if the music that is non-tonal and does not have fixed time signatures. This is demonstrated using an experimental example.