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 […]
Design of dynamic, adaptative and context-sensitive TEL dashboardsStarting: 01/10/2015PhD Student: Inès DabbebiAdvisor(s): Sébastien IKSAL (LIUM-IEIAH) & Serge Garlatti (Labsticc-IHSEV)Co-advisor(s): Jean-Marie Gilliot (Labsticc-IHSEV)Funding: ANR Hubble ProjectThis thesis is part of a general problem related to technology enhanced learning (TEL) and more specifically to the construction of analysis processes to accompany the decision-making of actors involved in […]
Automatic Analysis of Human Motion Data in Technology Enhanced Learning EnvironmentsStarting: 01/09/2015PhD Student: Quentin CoulandAdvisor(s): Sébastien George (LIUM – IEIAH)Co-advisor(s): Ludovic Hamon (LIUM – IEIAH)Funding: Bourse des collectivités LavalloisesThis thesis’ goal is to develop a Technology Enhanced Learning (TEL) environment allowing a student to improve his motion learning, by using his motion data, with machine […]
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 […]
Factored Neural Machine TranslationStarting: 01/10/2014PhD Student: Mercedes García MartínezAdvisor(s): Yannick Estève (LIUM, LST)Co-advisor(s): Loïc Barrault (LIUM, LST) & Fethi Bougares (LIUM, LST)Funding: This work was partially funded by the French National Research Agency (ANR) through the CHIST-ERA M2CR project, under the contract number ANR-15-CHR2-0006-01Communication between humans across the lands is difficult due to the diversity […]
Design and development of immersive interactions for serious gamesStarting: 01/10/2014PhD Student: Guillaume LoupAdvisor(s): Sébastien George (LIUM – IEIAH)Co-advisor(s): Audrey SERNA (LIRIS – SICAL)Funding: ANRThis thesis is in the field of Virtual Environments for Human Learning (VEHL). It was funded by the JEN.lab national ANR project, which aims to create Digital Epistemic Games (DEG), a category […]
Assister les enseignants dans le processus de scénarisation pédagogique des MOOCs.Starting: 01/10/2014PhD Student: Aicha BakkiAdvisor(s): Sébastien George (LIUM-IEIAH) & Chihab Cherkaoui (IRF-SIC, Université Ibn Zohr)Co-advisor(s): Lahcen OubahssiFunding: Coopération Maroco-Française (Institut Français au Maroc, CNRST)Ce projet de thèse s’intègre dans une problématique générale liée aux EIAH et plus spécifiquement aux MOOCs (Massive Open Online Courses). Les […]
Event Understanding through Multimodal Social Stream InterpretationStarting: 01/10/2014PhD Student: Sahar GhannayAdvisor(s): Yannick Estève (LIUM – LST)Co-advisor(s): Nathalie Camelin (LIUM – LST)Funding: Région Pays de la Loire, EUMSSI (Event Understanding through Multimodal Social Stream Interpretation)This thesis concerns a study of continuous word representations applied to the automatic detection of speech recognition errors. Recent advances in the […]
Analyse en locuteurs de collections de documents multimédia.Starting: 01/04/2014PhD Student: Gaël Le LanAdvisor(s): Sylvain Meignier (LIUM – LST)Co-advisor(s): Anthony Larcher (LIUM – LST)Funding: Orange La segmentation et regroupement en locuteurs (SRL) de collection cherche à répondre à la question « qui parle quand ? » dans une collection de documents multimédia. C’est un prérequis indispensable […]
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