Emmanuelle Billard – Page 16 – Laboratoire d'Informatique de l'Université du Mans

Multi30k

Corpus: Multi30k Dataset (Multi30k)Licence: Attribution-NonCommercial-ShareAlike 4.0 InternationalGitHub: https://github.com/multi30kAuthor(s): Loïc BarraultOzan CaglayanFethi BougaresThe Flickr30K Dataset contains 31,014 images sourced from online photo-sharing websites (Young et al., 2014). Each image is paired with five English descriptions, which were collected from Amazon Mechanical Turk2. The dataset contains 145,000 training, 5,070 development, and 5,000 test descriptions. The Multi30K dataset […]

TSAC

LST

Corpus: Tunisian Sentiment Analysis Corpus. (TSAC)Licence: GNU Lesser General Public License v3.0GitHub: https://github.com/fbougares/TSACAuthor(s): Fethi BougaresSalima MdhaffarYannick EstèveAbout 17k user comments manually annotated to positive and negative polarities. This corpus is collected from Facebook users comments written on official pages of Tunisian radios and TV channels namely Mosaique FM, JawhraFM, Shemes FM, HiwarElttounsi TV and Nessma […]

Pierre-Alexandre Broux

LST

PhD defence, Pierre-Alexandre Broux Date : 10/01/2020 Time : 14h00 Location : Room 210, IC2 building, LIUM, Le Mans Université Title : Speaker diarization in audiovisual files in interaction with human annotators Jury members : Reviewers: – Jean-François BONASTRE (LIA, Université d’Avignon) – Nicholas EVANS (EURECOM) Examiners: – Régine ANDRE-OBRECHT (Université Toulouse 3) Supervisor: – […]

Apprentissage actif, interprétation et contrôle pour la synthèse neuronale de parole expressive

LST

Active learning, interpretation and control for neural synthesis of expressive speech Supervisor: Sylvain Meignier and Anthony Larcher Co-supervisor(s): Marie Tahon Mails : prenom.nom@univ-lemans.fr Application deadline : 22 May 2020 Context : The thesis will take place at the Laboratoire d’Informatique de l’Université du Mans (LIUM) in the LST (Language and Speech Technology) team. […]

Extraction d’informations sémantiques end-to-end à partir du signal audio

LST

Extraction of end-to-end semantic information from an audio signal Supervisor: Sylvain Meignier Co-Supervisor(s) : Antoine Laurent, Nathalie Camelin, Nicolas Dugué Keywords: Speech recognition and understanding, End2End approaches, neural networks, gender Application deadline : 22 May 2020 Context : This thesis is part of the research topics of the Language and Speech Technologies (LST) […]

Word embeddings temporels : néologismes, biais de genre, corpus des actualités françaises

LST

Temporal word embeddings: neologisms, gender bias, corpus of French news Supervisor: Sylvain Meignier Co-supervisor(s): Nicolas Dugué and Nathalie Camelin Mails : prenom.nom@univ-lemans.fr Application deadline : 22 May 2020 Keywords: Word embeddings, temporal corpus, gender study, neologism detection, media Context : La télévision, la production littéraire et internet fournissent des traces de notre […]

Thèse : Intelligence Artificielle pour une compréhension de la parole contrôlée par la sémantique

LST

Intelligence Artificielle pour une compréhension de la parole contrôlée par la sémantique Supervisor: Sylvain Meignier Co-supervisor(s): Nathalie Camelin et Antoine Laurent Mails : prenom.nom@univ-lemans.fr Application deadline : 22 May 2020 Context : This thesis is part of the research topics of the Language and Speech Technologies (LST) team at the Laboratoire Informatique de […]

Kevin Vythelingum

LST

PhD defence, Kevin Vythelingum Date : 10/12/2019 Heure : 13h30 Lieu : Board room, IC2 building, LIUM, Le Mans Université Title : Rapid, efficient and joint construction of speech recognition and synthesis systems for new languages Jury members : Reviewers: – Martine ADDA-DECKER (LPP, Université Paris 3 Sorbonne) – Denis JOUVET (LORIA, INRIA Nancy) Examiners: […]

Liste des sujets de stage recherche Master 2

IEIAH-LST

The list of Master 2 research internships available at LIUM is visible here. To apply, send a letter of motivation and CV to the contact indicated for each subject.

PostDoc position: evolutive end-to-end neural networks for speaker recognition

LST

Contrat postdoctoral: Evolutive end-to-end neural networks for speaker recognition Host Laboratory : LIUM, équipe LST, https://lium.univ-lemans.fr/lium/lst/ Site : Le Mans University, France Supervisor : Anthony Larcher (LIUM) Duration : 24 months, Starting date : asap, end of Jaune 2020 at the latest Mots clef : Deep Learning, evolutive networks, genetic algorithms, explainability, speaker recognition, […]