no code implementations • 27 Apr 2024 • Charles Brazier, Jean-Luc Rouas
In this work, we propose to improve translation quality by adding another external source of information: the automatically recognized emotion in the voice.
no code implementations • JEPTALNRECITAL 2020 • Vincent P. Martin, Gabrielle Chapouthier, Mathilde Rieant, Jean-Luc Rouas, Pierre Philip
La d{\'e}tection automatique de la somnolence peut aider le suivi de patients souffrant de maladies neuro-psychiatriques chroniques.
no code implementations • JEPTALNRECITAL 2020 • Vincent P. Martin, Jean-Luc Rouas, Pierre Philip
Le suivi des patients souffrant de maladies neuro-psychiatriques chroniques peut {\^e}tre am{\'e}lior{\'e} gr{\^a}ce {\`a} la d{\'e}tection de la somnolence dans la voix.
no code implementations • LREC 2020 • Vincent P. Martin, Jean-Luc Rouas, Jean-Arthur Micoulaud Franchi, Pierre Philip
This article presents a large database to assess the sleepiness level of highly phenotyped patients that complain from excessive daytime sleepiness.
no code implementations • 18 Oct 2019 • Florian Boyer, Jean-Luc Rouas
Recently, end-to-end ASR based either on sequence-to-sequence networks or on the CTC objective function gained a lot of interest from the community, achieving competitive results over traditional systems using robust but complex pipelines.
no code implementations • 20 Oct 2016 • Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
This paper presents a unified framework for smooth convex regularization of discrete optimal transport problems.