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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)

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On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding., , , , and . SLT, page 361-368. IEEE, (2022)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)Nouvelle tâche sémantique pour le corpus de compréhension de parole en français MEDIA., , , , and . TALN (JEP), page 470-480. ATALA and AFPC, (2024)ON-TRAC Consortium Systems for the IWSLT 2023 Dialectal and Low-resource Speech Translation Tasks., , , , , , , , , and 2 other author(s). IWSLT@ACL, page 219-226. Association for Computational Linguistics, (2023)Where Are We in Semantic Concept Extraction for Spoken Language Understanding?, , , , , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 202-213. Springer, (2021)Open-Source Conversational AI with SpeechBrain 1.0., , , , , , , , , and 22 other author(s). CoRR, (2024)A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding., , , and . CoRR, (2024)Specialized Semantic Enrichment of Speech Representations., , , , and . ICASSP Workshops, page 1-5. IEEE, (2023)Semantic Enrichment Towards Efficient Speech Representations., , , , and . INTERSPEECH, page 705-709. ISCA, (2023)