A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis.

Daniel Szelogowski|Lopamudra Mukherjee|Benjamin Whitcomb


Anthology ID:DBLP:conf/ismir/SzelogowskiMW22
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:900-907
URL:https://archives.ismir.net/ismir2022/paper/000108.pdf
DBLP:conf/ismir/SzelogowskiMW22
BibTeX:
@inproceedings{szelogowski-2022-novel, author = {Daniel Szelogowski and Lopamudra Mukherjee and Benjamin Whitcomb}, 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 = {{A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis}}, booktitle = {{Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022}}, pages = {900--907}, year = {2022}, url = {https://archives.ismir.net/ismir2022/paper/000108.pdf} }