no code implementations • LREC 2022 • Rémi Uro, David Doukhan, Albert Rilliard, Laetitia Larcher, Anissa-Claire Adgharouamane, Marie Tahon, Antoine Laurent
It shows the automatic processing compare to up-to-date process, and that the output provides high quality speech for most of the selected excerpts.
no code implementations • PoliticalNLP (LREC) 2022 • Jules Cauzinille, Marc Evrard, Nikita Kiselov, Albert Rilliard
We present a French corpus of political interviews labeled at the utterance level according to expressive dimensions such as Arousal.
no code implementations • 24 Apr 2024 • Albert Rilliard, David Doukhan, Rémi Uro, Simon Devauchelle
Base-$F_0$ and vocal tract length were fit by linear mixed models to evaluate how they may have changed across time periods and genders, corrected for age effects.
no code implementations • 23 Apr 2024 • David Doukhan, Simon Devauchelle, Lucile Girard-Monneron, Mía Chávez Ruz, V. Chaddouk, Isabelle Wagner, Albert Rilliard
Accuracy of the models was affected by speakers' age.
no code implementations • JEPTALNRECITAL 2016 • Philippe Boula de Mare{\"u}il, Jean-Philippe Goldman, Albert Rilliard, Yves Scherrer, Fr{\'e}d{\'e}ric Vernier
Le pr{\'e}sent travail se propose de renouveler les traditionnels atlas dialectologiques pour cartographier les variantes de prononciation en fran{\c{c}}ais, {\`a} travers un site internet.
no code implementations • JEPTALNRECITAL 2012 • Philippe Boula de Mare{\"u}il, Albert Rilliard, Paolo Mairano, Jean-Pierre Lai
no code implementations • LREC 2012 • David Doukhan, Sophie Rosset, Albert Rilliard, D{'}Aless, Christophe ro, Martine Adda-Decker
This corpus is used for predicting expressive prosody in children tales, above the level of the sentence.