The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …

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

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 …

In music, the interpreter manipulates the performance parameters in order to offer a sonic
rendition of the piece that is capable of conveying specific expressive intentions. Since the …

By varying the dynamics in a musical performance, the musician can convey structure and
different expressions. Spectral properties of most musical instruments change in a complex …

Variations in dynamics are an essential component of musical performance in most
instruments. To study the factors that contribute to dynamic variations, we used a model …

In the context of contemporary monophonic music, expression can be seen as the difference
between a musical performance and its symbolic representation, ie a musical score. In this …

This chapter reviews some qualitative aspects of the trained recurrent nonlinear basis model
(RNBMs), revealing some of the temporal dependencies the model has learned. It focuses …

Many people enjoy classical symphonic music. Its diverse instrumentation makes for a rich
listening experience. This diversity adds to conductors' expressive freedom to shape the …

In this demonstration, we give an overview of the Basis Mixer, a basis modeling framework
for musical expression in piano music. This framework, which was originally conceived for …