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} }