A Survey of Computer Systems for Expressive Music Performance

Alexis Kirke; Eduardo Reck Miranda

doi:10.1145/1592451.1592454

A Survey of Computer Systems for Expressive Music Performance

Alexis Kirke^*, Eduardo Reck Miranda

^*Corresponding author for this work

School of Art, Design and Architecture

Research output: Contribution to journal › Article › peer-review

Abstract

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 examine the majority of the systems developed over the last 25 years. To highlight some of the possible future directions for new research, the review uses primary terms of reference based on four elements: testing status, expressive representation, polyphonic ability, and performance creativity.

Original language	English
Number of pages	0
Journal	ACM COMPUT SURV
Volume	42
Issue number	1
DOIs	https://doi.org/10.1145/1592451.1592454
Publication status	Published - Dec 2009

Keywords

Algorithms
Experimentation
Human Factors
Music performance
generative performance
computer music
machine learning
MODELS
EMOTIONS

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10.1145/1592451.1592454

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KW - Algorithms

KW - Experimentation

KW - Human Factors

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KW - generative performance

KW - computer music

KW - machine learning

KW - MODELS

KW - EMOTIONS

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A Survey of Computer Systems for Expressive Music Performance

Abstract

Keywords

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