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La compréhension de la parole dans les systèmes de dialogues humain-machine à l'heure des modèles pré-entraînés. (Spoken language understanding in human-computer dialogue systems in the era of pretrained models).. Le Mans University, France, (2024)The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools., , , , , , , and . LREC, page 1595-1602. European Language Resources Association, (2022)Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding., , , , , , , and . LREC, page 2949-2956. European Language Resources Association, (2022)On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding., , , , and . SLT, page 361-368. IEEE, (2022)Apprentissage de plongements de mots sur des corpus en langue de spécialité : une étude d'impact (Learning word embeddings on domain specific corpora : an impact study )., and . JEP-TALN-RECITAL (3), page 164-178. ATALA et AFCP, (2020)End2End Acoustic to Semantic Transduction., , , , , , and . ICASSP, page 7448-7452. IEEE, (2021)ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks., , , , , , and . INTERSPEECH, page 3453-3457. ISCA, (2022)