Search Results for author: Sylvain Meignier

Found 13 papers, 0 papers with code

Overlaps and Gender Analysis in the Context of Broadcast Media

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.

Are Embedding Spaces Interpretable? Results of an Intrusion Detection Evaluation on a Large French Corpus

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.

Intrusion Detection

Overlapped speech and gender detection with WavLM pre-trained features

no code implementations9 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).

End2End Acoustic to Semantic Transduction

no code implementations1 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.

Language Modelling Spoken Language Understanding

\'Evaluation de syst\`emes apprenant tout au long de la vie (Evaluation of lifelong learning systems )

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.

Evaluation of Lifelong Learning Systems

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.

BIG-bench Machine Learning

Fantastic 4 system for NIST 2015 Language Recognition Evaluation

no code implementations5 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).


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