SIMPÆX

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

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

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.

ALLIES

Autonomous Lifelong Learning IntelligEnt Systems (ALLIES)Date: 12/2017 – 03/2022Funding: EU H2020Call: chist-eraPartners: IDIAP (Switzerland), UPC (Span), LNE (France)URL: https://projets-lium.univ-lemans.fr/alliesLIUM Participant(s): Anthony LarcherLoïc BarraultFethi BougaresSylvain MeignierYevhenii ProkopaloMeysam ShamsiThe 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 […]

RAPACE

Deep neural networks for oral and written language processing (RAPACE)Date: 10/2017 – 09/2020Funding: RFI AltanStic 2020Call: Défis scientifiques 2016Partners: LINA (France)URL: https://lium.univ-lemans.fr/en/rapace/LIUM Participant(s): Antoine CaubrièreAntoine LaurentYannick EstèveThe RAPACE project focuses on the implementation of a deep neural architecture, associating specialized hidden layers, to develop a fully neural system of speech processing. The aim is to […]

Alexis Conneau

Learning and applications of distributed multilingual representationsStarting: 01/10/2015PhD Student: Alexis ConneauAdvisor(s): Paul Deléglise (LIUM, LST)Co-advisor(s): Loïc Barrault (LIUM, LST), Holger Schwenk (Facebook)Funding: CIFRE (Facebook)Learning and applications of distributed multilingual representations

JOKER

JOKe and Empathy of a Robot/ECA: Towards social and affective relations with a robot (JOKER)Date: 01/2014 – 07/2017Funding: EU H2020Call: CHIST-ERA 2012Partners: LIMSI (coordinateur) (France), UCD (Irlande), UMONS (Belgique), KOC University (Turquie)URL: https://lium.univ-lemans.fr/en/joker/LIUM Participant(s): Yannick EstèveNathalie CamelinSimon PetitrenaudSylvain MeignierDaniel LuzzatiThis project will build and develop JOKER, a generic intelligent user interface providing a multimodal dialogue […]

Abdessalam Bouchekif

Automatic structuring of audio documentsStarting: 01/10/2012PhD Student: Abdessalam BouchekifAdvisor(s): Yannick EstèveCo-advisor(s): Nathalie CamelinFunding: Contrat Orange LabsThe topic structuring is an area that has attracted much attention in the Natural Language Processing community. Indeed, topic structuring is considered as the starting point of several applications such as information retrieval, summarization and topic modeling. In this thesis, […]

VERA

AdVanced ERror Analysis for speech recognition (VERA)Date: 01/2013 – 01/2016Funding: ANRCall: BlancPartners: LNE (France), LPP (France), LIMSI (France)URL: https://lium.univ-lemans.fr/en/vera/LIUM Participant(s): Nathalie CamelinDaniel LuzzatiPaul DelégliseSylvain MeignierYannick EstèveThe VERA project aims at developing tools for diagnostic, localization, and measurements of automatic transcription errors. This project is based on a consortium of first-rate academic actors in this field. […]