Cluster and Separate: A GNN Approach to Voice and Staff Prediction for Score Engraving.
Francesco Foscarin|Emmanouil Karystinaios|Eita Nakamura|Gerhard Widmer
| Anthology ID: | DBLP:conf/ismir/FoscarinKNW24 |
|---|---|
| Volume: | Proceedings of the 25th International Society for Music Information Retrieval Conference, ISMIR 2024, San Francisco, California, USA and Online, November 10-14, 2024. |
| Year: | 2024 |
| Venue: | International Society for Music Information Retrieval Conference (ISMIR) |
| Pages: | 503-510 |
| URL: | https://doi.org/10.5281/ZENODO.14877385 |
| DOI: | https://doi.org/10.5281/ZENODO.14877385 |
| DBLP: | conf/ismir/FoscarinKNW24 |
| BibTeX: |
@inproceedings{foscarin-2024-cluster,
author = {Francesco Foscarin and
Emmanouil Karystinaios and
Eita Nakamura and
Gerhard Widmer},
editor = {Blair Kaneshiro and
Gautham J. Mysore and
Oriol Nieto and
Chris Donahue and
Cheng-Zhi Anna Huang and
Jin Ha Lee and
Brian McFee and
Matthew C. McCallum},
title = {{Cluster and Separate: A GNN Approach to Voice and Staff Prediction for Score Engraving}},
booktitle = {{Proceedings of the 25th International Society for Music Information Retrieval Conference, ISMIR 2024, San Francisco, California, USA and Online, November 10-14, 2024}},
pages = {503--510},
year = {2024},
url = {https://doi.org/10.5281/ZENODO.14877385},
doi = {https://doi.org/10.5281/ZENODO.14877385}
}