Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley. Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks. In Petr Tichavský, Massoud Babaie-Zadeh, Olivier J. J. Michel, Nadège Thirion-Moreau, editors, Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings. Volume 10169 of Lecture Notes in Computer Science, pages 236-246, 2017. [doi]
@inproceedings{GraisRSP17,
title = {Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks},
author = {Emad M. Grais and Gerard Roma and Andrew J. R. Simpson and Mark D. Plumbley},
year = {2017},
doi = {10.1007/978-3-319-53547-0_23},
url = {http://dx.doi.org/10.1007/978-3-319-53547-0_23},
researchr = {https://researchr.org/publication/GraisRSP17},
cites = {0},
citedby = {0},
pages = {236-246},
booktitle = {Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings},
editor = {Petr Tichavský and Massoud Babaie-Zadeh and Olivier J. J. Michel and Nadège Thirion-Moreau},
volume = {10169},
series = {Lecture Notes in Computer Science},
isbn = {978-3-319-53546-3},
}