IJCAI 2024poster0 citations
Rhythm Inference Helping Writing Music Scores
Abstract
We present a new problem called rhythm inference. It consists in inferring the duration of each note and each rest from a partial specification. We then formulate rhythm inference as a constraint satisfaction problem and we use mixed linear programming to solve it. The solution is implemented for a language representing music scores, called abcd. Interestingly, the rhythm is inferred in real-time from partial musical indications.
Constraint Satisfaction and Optimization: CSO: ApplicationsConstraint Satisfaction and Optimization: CSO: Constraint satisfactionConstraint Satisfaction and Optimization: CSO: ModelingMultidisciplinary Topics and Applications: MDA: Arts and creativity
BibTeX
@inproceedings{ijcai2024p1033,
title = {Rhythm Inference Helping Writing Music Scores},
author = {Schwarzentruber, François},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {8789--8792},
year = {2024},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2024/1033},
url = {https://doi.org/10.24963/ijcai.2024/1033},
}