How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020.
Yuqiang Li|Shengchen Li|George Fazekas
| Anthology ID: | DBLP:conf/ismir/LiLF22 |
|---|---|
| Volume: | Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022 |
| Year: | 2022 |
| Venue: | International Society for Music Information Retrieval Conference (ISMIR) |
| Pages: | 93-99 |
| URL: | https://archives.ismir.net/ismir2022/paper/000010.pdf |
| DBLP: | conf/ismir/LiLF22 |
| BibTeX: |
@inproceedings{li-2022-music,
author = {Yuqiang Li and
Shengchen Li and
George Fazekas},
editor = {Preeti Rao and
Hema A. Murthy and
Ajay Srinivasamurthy and
Rachel M. Bittner and
Rafael Caro Repetto and
Masataka Goto and
Xavier Serra and
Marius Miron},
title = {{How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020}},
booktitle = {{Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022}},
pages = {93--99},
year = {2022},
url = {https://archives.ismir.net/ismir2022/paper/000010.pdf}
}