Polysemic Embeddings for Industry (PolysEmY)Date: 01/2020 – 07/2021Funding: RFI AltanStic 2020Call: Partners: SNCF (France)URL: https://lium.univ-lemans.fr/polysemyLIUM Participant(s): Nathalie CamelinNicolas DuguéJane WottawaGaëtan CaillautThe lexical resources of SNCF’s technical documentation testify to the richness and specificities of the business vocabulary used within companies such as SNCF. This vocabulary is sometimes uncommon in corpuses, but according to experts, it […]
Clustering and Classification on a Corpus in Specialty Language (C3LS)Date: 11/2017 – 10/2019Funding: AutresCall: SNCFPartners: SNCF (France)URL: https://lium.univ-lemans.fr/c3lsLIUM Participant(s): Nathalie CamelinNicolas DuguéThe SNCF group is currently undergoing a digital transformation and is increasingly turning to technologies that could use Natural Language Processing (NLP). Business documentation is currently undergoing a major transformation, with businesses that are […]
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 […]
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-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: […]
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 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 […]
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 […]
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 […]
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 […]
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