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On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding.

, , , , and . SLT, page 361-368. IEEE, (2022)

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On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding., , , , and . SLT, page 361-368. IEEE, (2022)The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016., , , , , , , , , and 52 other author(s). INTERSPEECH, page 1328-1332. ISCA, (2017)SynVox2: Towards a privacy-friendly VoxCeleb2 dataset., , , , , , , and . CoRR, (2023)FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain., , , , , , and . CoRR, (2023)Classification du genre vidéo reposant sur des transcriptions automatiques., , and . TALN (Articles longs), page 181-190. ATALA, (2010)I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences., , , , , , , , , and 36 other author(s). CoRR, (2019)LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech., , , , , , , , , and 12 other author(s). CoRR, (2023)DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain., , , , , , , , , and 1 other author(s). CoRR, (2024)BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains., , , , , and . CoRR, (2024)DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique., , , , , , and . CORIA-TALN (4), page 109-120. ATALA, (2023)