Khmer Misspelling Correction Model with Deep Learning Approach to Improve Khmer Typing Accuracy in Educational ContextStarting: 01/11/2022PhD Student: Seanghort BornAdvisor(s): Madeth MayCo-advisor(s): Claudine Piau-ToffolonFunding: We are moving toward digital usage in industrial 4.0, and it has become ingrained in our lives. Prior to the invention of digital devices, we kept track of information via handwriting, […]
Resource-constrained multilingual speech translationStarting: 01/11/2022PhD Student: Hugo RiguidelAdvisor(s): Antoine Laurent (LIUM)Co-advisor(s): Anthony Larcher (LIUM), Josep Crego (Systran)Funding: CIFRE – ministère de l’Enseignement supérieur, de la Recherche et de l’InnovationContext This thesis work is in the field of automatic language processing and more specifically in automatic speech translation. The usefulness of machine translation for the community […]
Interpretability of embeddingsStarting: 01/10/2022PhD Student: Simon GuillotAdvisor(s): Antoin Laurent (LIUM) Co-advisor(s): Nicolas Dugué (LIUM), Mathieu Valette (INALCO)Funding: ANR DIGINGDescritpion Les approches de plongements lexicaux (word embedding en anglais) ont pour objectif de représenter le vocabulaire de la langue sous forme de vecteurs intelligibles par la machine. En particulier, l’une des hypothèses derrière le succès de […]
Model and tool to assist the scenarisation of VR-oriented pedagogical activitiesStarting: 01/10/2018PhD Student: Oussema MahdiAdvisor(s): Sebastien IksalCo-advisor(s): Lahcen OubahssiFunding: RégionThe work presented in this thesis is integrated in the field of Virtual Environments for Human Learning (VRLE) which main objective is to stimulate, accompany and personalize learning in virtual reality environments. Our mission thus established […]
Conception d’environnements éducatifs en Réalité Mixte pour aider à surmonter des obstacles didactiques : application à l’enseignement des fractionsStarting: 01/03/2022PhD Student: Sofiane TouelAdvisor(s): Sébastien GEORGECo-advisor(s): Iza MARFISIFunding: auto-financéLe projet de thèse vise à explorer les moyens d’utiliser la Réalité Mixte (RM) pour améliorer l’apprentissage. Nous exploitons notamment le fait que la RM permet de manipuler […]
Innovative Interactions for collaboratif situated learning Starting: 01/10/2021PhD Student: Sebastian SIMONAdvisor(s): Sébastien GEORGECo-advisor(s): Iza MARFISIFunding: ANR This project is at the intersection of situated learning and computer supported collaborative mobile learning. Its context are school trips supported by geographic maps. We conceive a novel solution of shared spaces with smartphones, thus broadening economical availability. Our […]
Guided design and generation of adaptable playful learning activitiesStarting: 01/10/2021PhD Student: Bérénice LemoineAdvisor(s): Sébastien GEORGECo-advisor(s): Pierre LAFORCADEFunding: RégionOur work takes place in the context of the adaptation of playful learning activities. The learning and gaming profiles of the learner-player must be taken into account during the adaptation. Therefore, the main focus on this research, in […]
Active learning, interpretation and control for neural synthesis of expressive speechStarting: 01/10/2021PhD Student: Thibault GaudierAdvisor(s): Anthony LarcherCo-advisor(s): Marie Tahon, Yannick Estève (LIA)Funding: Allocation de recherche du Ministère de la RechercheThe main objective of the project is to propose, develop and validate methods that allow to: generate expressive speech from a user-given instruction using either text-to-speech […]
Proposal of an approach for capitalizing on indicators dedicated to a study of the impact of the system for improving the French language, écri+.Starting: 04/01/2021PhD Student: Albane GrilAdvisor(s): Sébastien George Co-advisor(s): Madeth May (LIUM), Valérie Renault (CREN)Funding: PIA Ecri+Contexte de la thèse : Le projet national PIA écri+ est dédié à l’accompagnement des étudiants dans […]
automatic speech processing in meetings using microphone arrayStarting: 01/10/2020PhD Student: Théo MariotteAdvisor(s): Jean-Hugh Thomas (LAUM), Anthony Larcher (LIUM)Co-advisor(s): Silvio Montresor (LAUM)Funding: RFI Le Mans acoustiqueThe subject is supported by two laboratories of Le Mans – Université: the acoustics lab (LAUM) and the computer science lab (LIUM). The aim is to enhance automatic speech processing in […]
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