Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking.

Magdalena Fuentes|Brian McFee|Hélène C. Crayencour|Slim Essid|Juan Pablo Bello


Anthology ID:DBLP:conf/ismir/FuentesMCEB18
Volume:Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018
Year:2018
Venue:International Society for Music Information Retrieval Conference (ISMIR)
Pages:106-112
URL:http://ismir2018.ircam.fr/doc/pdfs/203_Paper.pdf
DBLP:conf/ismir/FuentesMCEB18
BibTeX:
@inproceedings{fuentes-2018-analysis, author = {Magdalena Fuentes and Brian McFee and H\'{e}l\`{e}ne C. Crayencour and Slim Essid and Juan Pablo Bello}, editor = {Emilia G\'{o}mez and Xiao Hu and Eric J. Humphrey and Emmanouil Benetos}, title = {{Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking}}, booktitle = {{Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018}}, pages = {106--112}, year = {2018}, url = {http://ismir2018.ircam.fr/doc/pdfs/203_Paper.pdf} }