Empirical research on music performance has increased considerably during recent
decades. This article updates the review of the research up to 1995 published by the current …

This contribution gives an overview of the state of the art in the field of computational
modeling of expressive music performance. The notion of predictive computational model is …

Music generation has generally been focused on either creating scores or interpreting them.
We discuss differences between these two problems and propose that, in fact, it may be …

A proposal that an embodied cognition approach to music research—drawing on work in
computer science, psychology, brain science, and musicology—offers a promising …

Musicians begin formal training by acquiring a body of musical concepts commonly known
as musicianship. These concepts underlie the musical skills of listening, performance, and …

The KTH rule system models performance principles used by musicians when performing a
musical score, within the realm of Western classical, jazz and popular music. An overview is …

In this article, we first survey the three major types of computer music systems based on AI
techniques:(1) compositional,(2) improvisational, and (3) performance systems …

Expressive performance is an indispensable part of music making. When playing a piece,
expert performers shape various parameters (tempo, timing, dynamics, intonation …

We present a survey of research into automated and semiautomated computer systems for
expressive performance of music. We will examine the motivation for such systems and then …

Expressive interpretation forms an important but complex aspect of music, particularly in
Western classical music. Modeling the relation between musical expression and structural …