A Sequential Covering Evolutionary Algorithm for Expressive Music Performance
Abstract
In this paper, we describe an evolutionary approach to one of the most challenging problems in computer music: modeling the knowledge applied by a musician when performing a score of a piece in order to produce an expressive performance of the piece. We extract a set of acoustic features from Jazz recordings thereby providing a symbolic representation of the musician’s expressive performance. By applying a sequential covering evolutionary algorithm to the symbolic representation, we obtain an expressive performance computational model capable of endowing a computer generated music performance with the timing and energy expressiveness that characterizes human generated music.
Cite
Text
Ramírez et al. "A Sequential Covering Evolutionary Algorithm for Expressive Music Performance." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Ramírez et al. "A Sequential Covering Evolutionary Algorithm for Expressive Music Performance." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/ramirez2006aaai-sequential/)BibTeX
@inproceedings{ramirez2006aaai-sequential,
title = {{A Sequential Covering Evolutionary Algorithm for Expressive Music Performance}},
author = {Ramírez, Rafael and Hazan, Amaury and Marine, Jordi and Maestre, Esteban},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {1830-1835},
url = {https://mlanthology.org/aaai/2006/ramirez2006aaai-sequential/}
}