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Using different acoustic, lexical and language modeling units for ASR of an under-resourced language – Amharic

, , and . Speech Communication, (2014)
DOI: https://doi.org/10.1016/j.specom.2013.01.008

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Actes de la conférence conjointe JEP-TALN-RECITAL 2012, volume 4: conférences invités, , , , and . ATALA/AFCP, (2012)Nonlinear acoustical preprocessing for multiple sampling rates ASR and ASR in noisy condition., and . NOLISP, page 2. ISCA, (2003)Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation., , and . CoRR, (2023)Using closely-related language to build an ASR for a very under-resourced language: Iban., , , and . O-COCOSDA, page 1-5. IEEE, (2014)FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French)., , , , , , , , , and . JEP-TALN-RECITAL (2), page 268-278. ATALA et AFCP, (2020)Modèle de langage sémantique pour la reconnaissance automatique de parole dans un contexte de traduction., , , and . TALN (Posters), page 147-152. ATALA, (2004)Segmentation multiple d'un flux de données textuelles pour la modélisation statistique du langage., , , and . TALN (Articles courts), page 337-346. ATALA, (2009)Automated Translation of a Literary Work: a Pilot Study., and . CLfL@NAACL-HLT, page 114-122. The Association for Computer Linguistics, (2015)Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech., , and . CoNLL, page 291-301. Association for Computational Linguistics, (2020)Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English., , , , , and . COLING, page 5047-5058. International Committee on Computational Linguistics, (2020)