Labib Chowdhury, Mustafa Kamal, Najia Tasnim, Nabeel Mohammed. Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent Space. In Arslan Brömme, Christoph Busch 0001, Naser Damer, Antitza Dantcheva, Marta Gomez-Barrero, Kiran B. Raja, Christian Rathgeb, Ana F. Sequeira, Andreas Uhl, editors, Proceedings of the 20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021, Digital Conference, September 15-17, 2021. Volume P-315 of LNI, pages 43-50, Gesellschaft für Informatik e.V., 2021. [doi]
@inproceedings{ChowdhuryKTM21,
title = {Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent Space},
author = {Labib Chowdhury and Mustafa Kamal and Najia Tasnim and Nabeel Mohammed},
year = {2021},
doi = {10.1109/BIOSIG52210.2021.9548296},
url = {https://doi.org/10.1109/BIOSIG52210.2021.9548296},
researchr = {https://researchr.org/publication/ChowdhuryKTM21},
cites = {0},
citedby = {0},
pages = {43-50},
booktitle = {Proceedings of the 20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021, Digital Conference, September 15-17, 2021},
editor = {Arslan Brömme and Christoph Busch 0001 and Naser Damer and Antitza Dantcheva and Marta Gomez-Barrero and Kiran B. Raja and Christian Rathgeb and Ana F. Sequeira and Andreas Uhl},
volume = {P-315},
series = {LNI},
publisher = {Gesellschaft für Informatik e.V.},
isbn = {978-1-6654-2693-0},
}