LST – Page 18 – Laboratoire d'Informatique de l'Université du Mans

ON-TRAC

Outils Neuronaux End-to-End pour la TRAduction des Communications (ON-TRAC)Date: 01/2019 – 03/2023Funding: ANRCall: GenericPartners: LIA (Avignon) (France), LIG (Grenoble) (France), Airbus (France)URL: https://lium.univ-lemans.fr/en/on-trac/LIUM Participant(s): Fethi BougaresAntoine LaurentAnthony LarcherLoïc BarraultThe ON-TRAC project proposes to radically change the architectures currently used in speech translation. It is based on end-to-end neural models for machine translation and is particularly […]

Alexis Conneau

LST

PhD defence, Alexis Conneau Titre : Learning distributed representations of sentences using neural networks. jury members : Claire Gardent, Directrice de Recherche Première Classe au CNRS/LORIO, Reviewer François Yvon Professeur des Universités à l’Université d’Orsay, Reviewer Yann Lecun, Professeur à New York University et Facebook AI Research, Examiner Chris Dyer Research Scientist at Google DeepMind, […]

DEEP-PRIVACY

LST

DEEP-PRIVACYDate: 01/2019 – 12/2022Funding: ANRCall: genericPartners: Multispeech (France), LIA (France), Magnet (France)URL: https://lium.univ-lemans.fr/en/deep-privacy/LIUM Participant(s): Anthony LarcherAntoine LaurentMarie TahonPierre ChampionDEEP-PRIVACY proposes a new paradigm based on a distributed, personalized, and privacy-preserving approach for speech processing, with a focus on machine learning algorithms for speech recognition. To this end, we propose to rely on a hybrid approach: […]

Edwin Simonnet

LST

Soutenance de thèse, Edwin Simonnet Date : 12/02/2019 Heure : 13h00 Lieu : amphithéâtre, bâtiment IC2, LIUM, Université du Mans Title : Deep learning applied to spoken langage understanding jury members: Reviewers : – Ms Sophie Rosset – Mr. Frédéric Béchet Examiners : – Mr. Marco Dinarelli – Mr. Bassam Jabaian Supervisor : Mr. Yannick […]

HDR, Anthony Larcher

LST

HDR Defense, Anthony Larcher Title : Acoustic modelling for speaker recognition. Jury : Claude BARRAS, Lecturer HDR, LIMSI, Paris Guillaume GRAVIER, Research Director, l’IRISA/CNRS, Rennes Jean-François BONASTRE, Professor, Université d’Avignon et des Pays de Vaucluse Denis JOUVET, Research Director, CNRS, LORIA, Nancy Sylvain MEIGNIER, Professor, Université du Mans Abstract : Since the […]

Yevhenii Prokopalo

LST

Autonomous lifelong learning intelligent systems Starting: 01/09/2018PhD Student: Yevhenii ProkopaloAdvisor(s): Anthony LarcherCo-advisor(s): Loic BarraultFunding: Chist-ERAThe goal of the ALLIES project is to encourage and demonstrate the development of autonomous systems, able to sustain performance across time according to a given learning scenario. A learning scenario defines the importance given to the performance on “past” and […]

Manon Macary

LST

Massive and real-time data analysis in order to extract semantic and emotional information from speechStarting: 02/05/2018PhD Student: Manon PinelAdvisor(s): Yannick Estève (LIUM, LST)Co-advisor(s): Maris Tahon (LIUM, LST) & Anthony Rousseau (Allo-Media)Funding: CIFRELes principaux objectifs de cette thèse sont de concevoir, implémenter et expérimenter des approches neuronales end-to-end dédiées à des tâches d’extraction d’informations sémantiques de […]

SIMPÆX

LST

SIMPÆXDate: 02/2018 – 09/2020Funding: RFI AltanStic 2020Call: Amorçage, Défis scientifique 2017URL: https://lium.univ-lemans.fr/en/simpaex/LIUM Participant(s): Marie TahonThe SIMPÆX project aims at the automatic segmentation and identification of expressive styles and speakers in a speech corpus. Indeed the extraction of features concerning the speaker, his emotional state and the social context, offers very relevant clues for various applications […]

Néo

En cours, LST

NéoDate: 02/2018 – 01/2020Funding: RFI AltanStic 2020Call: Amorçage, Défis scientifique 2017Partners: Laboratoire ERIC (France), CRTT (France)URL: https://lium.univ-lemans.fr/en/neo/LIUM Participant(s): Nicolas DuguéNathalie CamelinNeo is an interdisciplinary digital humanities research project aiming at the semi-automatic detection and analysis of contemporary neology. It results from the convergence of new language practices of the modern web (creation of new words […]

Paul Tardy

LST

Neural approaches for abstractive text summarizationStarting: 01/09/2017PhD Student: Paul TardyAdvisor(s): Yannick Estève (LIUM – LST)Co-advisor(s): Funding: CIFRE, Financière du CaroubierThis thesis aims at developping Neural approaches for abstract summarization of speech transcripts with a view to developing an automatic solution for abstract summarization of speech transcripts.