MAGMATDate: 10/2016 – 10/2019Funding: DGA/DGFCall: RapidPartners: Airbus D&S (France), Voxygen (France)URL: https://lium.univ-lemans.fr/en/magmat/LIUM Participant(s): Loïc BarraultWalid AransaLe projet MAGMAT vise à définir et mettre en œuvre une méthodologie agile et incrémentale de développement en temps contraint d’un système de traduction le la parole vers la parole. Sur le plan du développement de langues, deux objectifs principaux […]
PASTELDate: 10/2016 – 04/2021Funding: ANRCall: Interactions, Robotique, Contenus / Automatique, signal 2016Partners: Orange Lab (France), cren (France), LS2N (France)URL: https://projets-lium.univ-lemans.fr/pastelLIUM Participant(s): Christophe ChoquetAntoine LaurentVincent BettenfeldNathalie CamelinChristophe DesprésMadeth MaySalima MdhaffarLahcen OubahssiClaudine Piau-ToffolonAsmaa DarouichRémi VenantPASTEL is a research project that aims to explore the potential of real time and automatic transcriptions for the instrumentation of mixed educational […]
Multilingual Neural Architectures for Natural Language ProcessingStarting: 01/09/2016PhD Student: Adrien BardetAdvisor(s): Sylvain Meignier (LIUM, LST)Co-advisor(s): Loïc Barrault (LIUM, LST) & Fethi Bougares (LIUM, LST)Funding: M2CRThe objective of this thesis is machine translation through multilingual neural systems. The effectiveness of these approaches as already been shown in monolingual machine translation where you translate from a single […]
BlackcompassDate: 04/2016 – 04/2018Funding: Région Pays de la LoireCall: Fonds Pays de la Loire Territoires d’InnovationPartners: Dictanova (France), Ville de Nantes (France)URL: https://lium.univ-lemans.fr/en/blackcompass/LIUM Participant(s): Sylvain MeignierAntoine LaurentThe project aims to develop a software solution to valorize phone exchange content between consumers and brands by analyzing this content.
Joint, fast, and effective building of multilingual systems for speech recognition and synthesisStarting: 15/03/2016PhD Student: Kevin VythelingumAdvisor(s): Yannick Estève (LIUM, LST)Co-advisor(s): Anthony Larcher (LIUM, LST) & Olivier Rosec (Voxygen)Funding: CIFRE (Voxygen)Speech technology development was split through a few reseach centers, each working on a small number of languages. The problem of fast development of new […]
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
Spoken Language Understanding for human-computer interactionStarting: 01/10/2015PhD Student: Edwin SimonnetAdvisor(s): Yannick Estève (LIUM, LST)Co-advisor(s): Nathalie Camelin (LIUM, LST)Funding: Projet Européen (JOKER) / RégionThis thesis work is done in connection with the European project JOKER (JOKe and Empathy of a Robot/ECA: Towards social and affective relations with a robot). This project is funded by the program […]
Multilingual Multimodal Continuous Representation for Human Language Understanding (M2CR)Date: 06/2015 – 06/2019Funding: AutresCall: ChisteraPartners: MILA (Canada), CVC (Espagne)URL: http://m2cr.univ-lemans.fr/LIUM Participant(s): Loïc BarraultFethi BougaresNathalie CamelinYannick EstèveMercedes García MartínezSahar GhannayAdrien BardetOzan CaglayanCommunication is one of the necessary condition to develop intelligence in living beings. Humans use several modalities to exchange information: speech, written text, both in many […]
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 […]
Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems.Starting: 01/12/2014PhD Student: Natalia TomashenkoAdvisor(s): Yannick Estève (LIUM – LST)Co-advisor(s): Anthony Larcher (LIUM – LST)Funding: Differences between training and testing conditions may significantly degrade recognition accuracy in automatic speech recognition (ASR) systems. Adaptation is an efficient way to […]
Français