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

CapDiff

CapDiff (CapDiff)Date: 06/2019 – 12/2020Funding: AutresCall: BPIPartners: LAUM (France), HAAPIE (France), VOXPASS (France)URL: https://lium.univ-lemans.fr/en/capdiff/LIUM Participant(s): Anthony LarcherJustine CarpentierSylvain MeignierThe development and spreading of connected enable automation of a number of tidious tasks. The recent advances in speech recognition technologies, i.e., speech synthesis or voice recognition and the increasing user acceptance open wide horizons for those […]

AISSPER

LST

Artificial Intelligence for Semantically controlled SPEech UndeRstanding (AISSPER)Date: 01/2020 – 10/2024Funding: ANRCall: AAPG2019Partners: LIA (France), Orkis (France)URL: https://lium.univ-lemans.fr/en/aissper/LIUM Participant(s): Nathalie CamelinSylvain MeignierAntoine LaurentValentin PelloinEffective modeling of variabilities, exhibited by human’s speech at different levels (prosodic, acoustic, lexical,…), is still an open research problem for SLU systems. Even more, extracting relevant keywords, themes or concept mentions […]

Pierre Champion

LST

Privacy preserving and personalized transformations for speech recognitionStarting: 01/10/2019PhD Student: Pierre ChampionAdvisor(s): Denis Jouvet (Loria), Anthony Larcher (LIUM – LST)Co-advisor(s): Funding: ANR Deep-PrivacyThe objective of the proposed thesis is twofold. First, it aims at finding a privacy preserving transform of the speech data, and, second, it will investigate the use of additional personalized transforms, that […]

Thomas Thebaud

LST

Analysis and countermeasures of identity theft fraud in behavioural biometric systemsStarting: 01/10/2019PhD Student: Thomas ThebaudAdvisor(s): Anthony Larcher (LIUM – LST)Co-advisor(s): Gaël Le Lan (Orange)Funding: Orange Labs

EXTENSOR

LST

End-To-end Evolutive Neural Networks for Speaker Recognition (EXTENSOR)Date: 01/2020 – 06/2022Funding: ANRCall: AAPG2019Partners: Eurecom (France)URL: https://lium.univ-lemans.fr/en/extensor/LIUM Participant(s): Anthony LarcherAntoine LaurentMarie TahonSylvain MeignierAmbuj Mehrish ExTENSoR proposes fundamental research that aims to explore the potential of using end-to-end and automatically learned / evolving articial neural networks in order to overcome the limitations of hand-crafted features and network […]

Contrat postdoctoral: Polysemic Embeddings

LST

Host Laboratory : LIUM, Team LST, Partner industry : SNCF Innovation Recherche Tutor : Nicolas Dugué (LIUM) Co-tutor : Nathalie Camelin (LIUM), Luce Lefeuvre (SNCF) Duration : One-year contract, Satrting date : asap LIUM is currently completing a collaboration project with SNCF’s Innovation and Research Department to structure a corpus of documents into themes. With […]

ASSC

LST

Fine analysis of opinions in corpuses of Customer Satisfaction (ASSC)Date: 10/2019 – 02/2023Funding: AutresCall: MMAPartners: MMA (France)URL: https://lium.univ-lemans.fr/asscLIUM Participant(s): Nathalie CamelinNicolas DuguéSylvain MeignierRémi BouvetMohamed EttalebThe MMA group (Mutuelles du Mans Assurances), the leading player in property and casualty insurance in France, is highly involved in the analysis of customer paths. In a customer relationship strategy, […]

PolysEmY

LST

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 […]

C3LS

LST

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 […]

ON-TRAC

LST

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 […]