13 citations · 32 across the 40 of their papers we have counts for
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MSP-Podcast SER Challenge 2024: L'antenne du Ventoux Multimodal Self-Supervised Learning for Speech Emotion Recognition
Jarod Duret, Mickael Rouvier, Yannick Estève
In this work, we detail our submission to the 2024 edition of the MSP-Podcast Speech Emotion Recognition (SER) Challenge. This challenge is divided into two distinct tasks: Categor…
Zero-Shot End-To-End Spoken Question Answering In Medical Domain
Yanis Labrak, Adel Moumen, Richard Dufour +1
In the rapidly evolving landscape of spoken question-answering (SQA), the integration of large language models (LLMs) has emerged as a transformative development. Conventional appr…
Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2
Pierre-Michel Bousquet, Mickael Rouvier
The SdSv challenge Task 2 provided an opportunity to assess efficiency and robustness of modern text-independent speaker verification systems. But it also made it possible to test…
Probing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems
Quentin Raymondaud, Mickael Rouvier, Richard Dufour
Deep learning architectures have made significant progress in terms of performance in many research areas. The automatic speech recognition (ASR) field has thus benefited from thes…
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
Yanis Labrak, Adrien Bazoge, Oumaima El Khettari +8
The biomedical domain has sparked a significant interest in the field of Natural Language Processing (NLP), which has seen substantial advancements with pre-trained language models…
How Important Is Tokenization in French Medical Masked Language Models?
Yanis Labrak, Adrien Bazoge, Beatrice Daille +2
Subword tokenization has become the prevailing standard in the field of natural language processing (NLP) over recent years, primarily due to the widespread utilization of pre-trai…
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin +3
Large Language Models (LLMs) have demonstrated remarkable versatility in recent years, offering potential applications across specialized domains such as healthcare and medicine. D…