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An investigation into language model data augmentation for low-resourced STT and KWD

Guangpu Huang 1 Thiago Fraga-Silva 2 Lori Lamel 1 Jean-Luc Gauvain 1 Antoine Laurent 3, 2 Rasa Lileikyte 1 Abdel Massouadi 2 
1 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
2 Vocapia Research [Orsay]
3 LIUM - Laboratoire d'Informatique de l'Université du Mans
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01744184
Contributor : Antoine LAURENT Connect in order to contact the contributor
Submitted on : Tuesday, March 27, 2018 - 11:10:33 AM
Last modification on : Saturday, June 25, 2022 - 10:30:38 PM

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  • HAL Id : hal-01744184, version 1

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CNRS | UNIV-LEMANS | LIMSI | LIUM | LIUM-LST | UNIV-PARIS-SACLAY | SORBONNE-UNIVERSITE | LISN | GS-ENGINEERING | GS-COMPUTER-SCIENCE

Citation

Guangpu Huang, Thiago Fraga-Silva, Lori Lamel, Jean-Luc Gauvain, Antoine Laurent, et al.. An investigation into language model data augmentation for low-resourced STT and KWD. icassp 2017, Mar 2017, La Nouvelle Orléans, United States. ⟨hal-01744184⟩

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