Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation.

Daniel Stoller|Sebastian Ewert|Simon Dixon


Anthology ID:DBLP:conf/ismir/StollerED18
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:334-340
URL:http://ismir2018.ircam.fr/doc/pdfs/205_Paper.pdf
DBLP:conf/ismir/StollerED18
BibTeX:
@inproceedings{stoller-2018-waveunet, author = {Daniel Stoller and Sebastian Ewert and Simon Dixon}, editor = {Emilia G\'{o}mez and Xiao Hu and Eric J. Humphrey and Emmanouil Benetos}, title = {{Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation}}, booktitle = {{Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018}}, pages = {334--340}, year = {2018}, url = {http://ismir2018.ircam.fr/doc/pdfs/205_Paper.pdf} }