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 […]
Temporal word embeddings: neologisms, gender bias, corpus of French newsStarting: 01/10/2020PhD Student: Thibault ProuteauAdvisor(s): Sylvain MeignierCo-advisor(s): Nicolas Dugué Funding: Allocation de recherche du ministère de l’enseignement supérieurContexte de la thèse : La télévision, la production littéraire et internet fournissent des traces de notre utilisation de la langue [6]. Grâce à l’Ina, la mémoire de la […]
Artificial Intelligence for a semantically controlled speech understandingStarting: 01/10/2020PhD Student: Valentin PelloinAdvisor(s): Sylvain MeignierCo-advisor(s): Nathalie Camelin et Antoine LaurentFunding: ANR AISSPERDescritpion Le projet ANR AISSPER (Artificial Intelligence for Semantically controlled SPEech UndeRstanding) a pour objectif de proposer des nouveaux algorithmes afin de résoudre le difficile problème de la compréhension de la parole. En effet, malgré […]
Extraction of end-to-end semantic information from audio signalStarting: 01/10/2020PhD Student: Martin LebourdaisAdvisor(s): Sylvain MeignierCo-advisor(s): Antoine Laurent, Marie TahonFunding: ANR GEMThe GEM project aims to describe the differences in representation and treatment between women and men in the media, based on the automatic analysis of large volumes of French-language data contained in the INA and Deezer […]
Teaching Analytics: support for assessment and pedagogical design assistance using artificial intelligence.Starting: 01/10/2019PhD Student: Ibtissem BennacerAdvisor(s): Sébastien IksalCo-advisor(s): Rémi VenantFunding: Bourse MinistérielleThis thesis is about the use of Teaching Analytics to analyze teachers’ behaviors and assist them in the use of Learning Management Systems (LMS). Teaching Analytics (TA) refers to methods and tools to help […]
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 […]
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
Modeling and analysis of motions and technical gestures in virtual environment for learning and trainingStarting: 01/10/2018PhD Student: Jean Delest D. DJADJAAdvisor(s): Sébastien George (LIUM – IEIAH)Co-advisor(s): Ludovic Hamon (LIUM – IEIAH)Funding: Bourse MinistérielleOur work regards the learning of technical gestures in Virtual Environments (VE) by learners and evaluated by teachers. We propose a method for […]
Autonomous lifelong learning intelligent systems Starting: 01/09/2018PhD Student: Yevhenii ProkopaloAdvisor(s): Anthony LarcherCo-advisor(s): Loic BarraultFunding: Chist-ERAThe 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 learning scenario defines the importance given to the performance on “past” and […]
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