%0 Conference Paper %1 conf/asru/DufrauxVHBD19 %A Dufraux, Adrien %A Vincent, Emmanuel %A Hannun, Awni Y. %A Brun, Armelle %A Douze, Matthijs %B ASRU %D 2019 %I IEEE %K dblp %P 78-85 %T Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition. %U http://dblp.uni-trier.de/db/conf/asru/asru2019.html#DufrauxVHBD19 %@ 978-1-7281-0306-8

@inproceedings{conf/asru/DufrauxVHBD19, added-at = {2022-04-05T00:00:00.000+0200}, author = {Dufraux, Adrien and Vincent, Emmanuel and Hannun, Awni Y. and Brun, Armelle and Douze, Matthijs}, biburl = {https://www.bibsonomy.org/bibtex/2d8515cc186918ad8e4d21feb1908893e/dblp}, booktitle = {ASRU}, crossref = {conf/asru/2019}, ee = {https://doi.org/10.1109/ASRU46091.2019.9003981}, interhash = {31170e632bfd310c118241d1d5c1d9ff}, intrahash = {d8515cc186918ad8e4d21feb1908893e}, isbn = {978-1-7281-0306-8}, keywords = {dblp}, pages = {78-85}, publisher = {IEEE}, timestamp = {2024-04-10T16:33:09.000+0200}, title = {Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition.}, url = {http://dblp.uni-trier.de/db/conf/asru/asru2019.html#DufrauxVHBD19}, year = 2019 }