%0 Conference Paper %1 conf/asru/DoHSNTN15 %A Do, Quoc Truong %A Heck, Michael %A Sakti, Sakriani %A Neubig, Graham %A Toda, Tomoki %A Nakamura, Satoshi %B ASRU %D 2015 %I IEEE %K dblp %P 654-659 %T The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function. %U http://dblp.uni-trier.de/db/conf/asru/asru2015.html#DoHSNTN15 %@ 978-1-4799-7291-3

@inproceedings{conf/asru/DoHSNTN15, added-at = {2021-04-09T00:00:00.000+0200}, author = {Do, Quoc Truong and Heck, Michael and Sakti, Sakriani and Neubig, Graham and Toda, Tomoki and Nakamura, Satoshi}, biburl = {https://www.bibsonomy.org/bibtex/2d2c7e7c25dbe41b9da09500ed8be0b37/dblp}, booktitle = {ASRU}, crossref = {conf/asru/2015}, ee = {https://doi.org/10.1109/ASRU.2015.7404858}, interhash = {b9dccb75a5f6b0c72841025c62563180}, intrahash = {d2c7e7c25dbe41b9da09500ed8be0b37}, isbn = {978-1-4799-7291-3}, keywords = {dblp}, pages = {654-659}, publisher = {IEEE}, timestamp = {2024-04-10T16:33:23.000+0200}, title = {The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function.}, url = {http://dblp.uni-trier.de/db/conf/asru/asru2015.html#DoHSNTN15}, year = 2015 }