no code implementations • BigScience (ACL) 2022 • Nicolas Hervé, Valentin Pelloin, Benoit Favre, Franck Dary, Antoine Laurent, Sylvain Meignier, Laurent Besacier
This papers aims at improving spoken language modeling (LM) using very large amount of automatically transcribed speech.
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 • Thibault Prouteau, Nicolas Dugué, Nathalie Camelin, Sylvain Meignier
It is operated using a large French corpus, and is thus, as far as we know, the first large-scale experiment regarding word embedding interpretability on this language.
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 • 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 • 1 Feb 2021 • Valentin Pelloin, Nathalie Camelin, Antoine Laurent, Renato de Mori, Antoine Caubrière, Yannick Estève, Sylvain Meignier
In this paper, we propose a novel end-to-end sequence-to-sequence spoken language understanding model using an attention mechanism.
no code implementations • JEPTALNRECITAL 2020 • Yevhenii Prokopalo, Sylvain Meignier, Olivier Galibert, Lo{\"\i}c Barrault, Anthony Larcher
Une adaptation de leur mod{\`e}le par des experts en apprentissage automatique est possible mais tr{\`e}s co{\^u}teuse alors que les soci{\'e}t{\'e}s utilisant ces syst{\`e}mes disposent d{'}experts du domaine qui pourraient accompagner ces syst{\`e}mes dans un apprentissage tout au long de la vie.
no code implementations • LREC 2020 • Yevhenii Prokopalo, Sylvain Meignier, Olivier Galibert, Loic Barrault, Anthony Larcher
Current intelligent systems need the expensive support of machine learning experts to sustain their performance level when used on a daily basis.
no code implementations • JEPTALNRECITAL 2016 • Ga{\"e}l Le Lan, Sylvain Meignier, Delphine Charlet, Anthony Larcher
This paper investigates self trained cross-show speaker diarization applied to collections of French TV archives, based on an \textit{i-vector/PLDA} framework.
no code implementations • 5 Feb 2016 • Kong Aik Lee, Ville Hautamäki, Anthony Larcher, Wei Rao, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Ivan Kukanov, Amir Poorjam, Trung Ngo Trong, Xiong Xiao, Cheng-Lin Xu, Hai-Hua Xu, Bin Ma, Haizhou Li, Sylvain Meignier
This article describes the systems jointly submitted by Institute for Infocomm (I$^2$R), the Laboratoire d'Informatique de l'Universit\'e du Maine (LIUM), Nanyang Technology University (NTU) and the University of Eastern Finland (UEF) for 2015 NIST Language Recognition Evaluation (LRE).