1 code implementation • 17 Jan 2024 • Antonio Almudévar, Théo Mariotte, Alfonso Ortega, Marie Tahon
One of this latent variables is imposed to depend exclusively on the domain, while the other one must depend on the rest of the variability factors of the data.
no code implementations • LREC 2012 • Marie Tahon, Agnes Delaborde, Laurence Devillers
This article presents a corpus featuring children playing games in interaction with the humanoid robot Nao: children have to express emotions in the course of a storytelling by the robot.
no code implementations • LREC 2020 • Jane Wottawa, Marie Tahon, Apolline Marin, Nicolas Audibert
Furthermore, regression models were trained in order to allow automatic prediction of hesitation for speech chunks that do not have a manual annotation.
no code implementations • LREC 2020 • Manon Macary, Marie Tahon, Yannick Est{\`e}ve, Anthony Rousseau
We present a new corpus, named AlloSat, composed of real-life call center conversations in French that is continuously annotated in frustration and satisfaction.
no code implementations • JEPTALNRECITAL 2020 • Manon Macary, Marie Tahon, Yannick Est{\`e}ve, Anthony Rousseau
AlloSat regroupe 303 conversations pour un total d{'}environ 37 heures d{'}audio, toutes enregistr{\'e}es dans des environnements r{\'e}els, collect{\'e}es par Allo-Media (une soci{\'e}t{\'e} sp{\'e}cialis{\'e}e dans l{'}analyse automatique d{'}appels).
no code implementations • 18 Nov 2020 • Manon Macary, Marie Tahon, Yannick Estève, Anthony Rousseau
Pre-training for feature extraction is an increasingly studied approach to get better continuous representations of audio and text content.
no code implementations • 9 Sep 2022 • Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier
This article focuses on overlapped speech and gender detection in order to study interactions between women and men in French audiovisual media (Gender Equality Monitoring project).
no code implementations • LREC 2022 • Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier, Anthony Larcher
Our main goal is to study the interactions between speakers according to their gender and role in broadcast media.
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 • 14 Oct 2022 • Meysam Shamsi, Marie Tahon
There are two paradigms of emotion representation, categorical labeling and dimensional description in continuous space.
no code implementations • 15 Apr 2023 • Hubert Nourtel, Pierre Champion, Denis Jouvet, Anthony Larcher, Marie Tahon
This paper studies the impact of the speaker anonymization baseline system of the VPC on emotional information present in speech utterances.
no code implementations • 24 Jul 2023 • Martin Lebourdais, Théo Mariotte, Marie Tahon, Anthony Larcher, Antoine Laurent, Silvio Montresor, Sylvain Meignier, Jean-Hugh Thomas
Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization.
no code implementations • 6 Oct 2023 • Manon Macary, Marie Tahon, Yannick Estève, Daniel Luzzati
In the context of telephone conversations, we can break down the audio information into acoustic and linguistic by using the speech signal and its transcription.
no code implementations • 16 Jan 2024 • Théo Mariotte, Antonio Almudévar, Marie Tahon, Alfonso Ortega
Audio signal segmentation is a key task for automatic audio indexing.