The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures.

Shih-Lun Wu|Yi-Hsuan Yang


Anthology ID:DBLP:conf/ismir/WuY20
Volume:Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020
Year:2020
Venue:International Society for Music Information Retrieval Conference (ISMIR)
Pages:142-149
URL:http://archives.ismir.net/ismir2020/paper/000339.pdf
DBLP:conf/ismir/WuY20
BibTeX:
@inproceedings{wu-2020-jazz, author = {Shih-Lun Wu and Yi-Hsuan Yang}, editor = {Julie Cumming and Jin Ha Lee and Brian McFee and Markus Schedl and Johanna Devaney and Cory McKay and Eva Zangerle and Timothy de Reuse}, title = {{The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures}}, booktitle = {{Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020}}, pages = {142--149}, year = {2020}, url = {http://archives.ismir.net/ismir2020/paper/000339.pdf} }