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Où en sommes-nous dans la reconnaissance des entités nommées structurées à partir de la parole ? (Where are we in Named Entity Recognition from speech ?).

, , , , and . JEP-TALN-RECITAL (1), page 64-72. ATALA et AFCP, (2020)

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Characterization and modeling of dynamic variability induced by BTI in nano-scaled transistors., , , , , and . Microelectron. Reliab., (2018)Improving recognition of proper nouns in ASR through generating and filtering phonetic transcriptions., , and . Comput. Speech Lang., 28 (4): 979-996 (2014)SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation., , and . CoRR, (2022)Direct Text to Speech Translation System using Acoustic Units., , , , , and . CoRR, (2023)Boosting bonsai trees for efficient features combination: application to speaker role identification., , and . INTERSPEECH, page 76-80. ISCA, (2014)Acoustics-based phonetic transcription method for proper nouns., , , and . INTERSPEECH, page 2286-2289. ISCA, (2010)ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks., , , , , , , , , and 1 other author(s). IWSLT@ACL, page 308-318. Association for Computational Linguistics, (2022)Apport de l'adaptation automatique des modèles de langage pour la reconnaissance de la parole: évaluation qualitative extrinsèque dans un contexte de traitement de cours magistraux (Contribution of automatic adaptation of language models for speech recognition : extrinsic qualitative evaluation in a context of educational courses)., , , , and . PFIA (Articles courts), page 167-174. ATALA, (2019)Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques (Curriculum learning : named entity recognition for semantic concept extraction)., , , , and . PFIA (Articles longs), page 85-98. ATALA, (2019)Computer-assisted transcription of speech based on confusion network reordering., , , and . ICASSP, page 4884-4887. IEEE, (2011)