EnsembleSet: a new high quality synthesised dataset for chamber ensemble separation.

Saurjya Sarkar|Emmanouil Benetos|Mark Sandler


Anthology ID:DBLP:conf/ismir/SarkarB022
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:625-632
URL:https://archives.ismir.net/ismir2022/paper/000075.pdf
DBLP:conf/ismir/SarkarB022
BibTeX:
@inproceedings{sarkar-2022-ensembleset, author = {Saurjya Sarkar and Emmanouil Benetos and Mark Sandler}, 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 = {{EnsembleSet: a new high quality synthesised dataset for chamber ensemble separation}}, booktitle = {{Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022}}, pages = {625--632}, year = {2022}, url = {https://archives.ismir.net/ismir2022/paper/000075.pdf} }