Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …

A musical performance renders an acoustic realization of a musical score or other
representation of a composition. Different performances of the same composition may vary …

In the pursuit of developing expressive music performance models using artificial
intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic …

Computational models of expressive piano performance rely on attributes like tempo, timing,
dynamics and pedalling. Despite some promising models for performance assessment and …

We propose a system for rendering a symbolic piano performance with flexible musical
expression. It is necessary to actively control musical expression for creating a new music …

There have been many attempts to model the ability of human musicians to take a score and
perform or render it expressively, by adding tempo, timing, loudness and articulation …

Performers' distortion of notated rhythms in a musical score is a significant factor in the
production of convincingly expressive music interpretations. Sometimes exaggerated, and …

This paper introduces the ACCompanion, an expressive accompaniment system. Similarly
to a musician who accompanies a soloist playing a given musical piece, our system can …

One of the challenges in generating human-like music is articulating musical expressions
such as dynamics, phrasing, and timbre, which are difficult for computational models to …

Recent advances in data-driven expressive performance rendering have enabled automatic
models to reproduce the characteristics and the variability of human performances of …