Emmanuelle Billard – Page 9 – Laboratoire d'Informatique de l'Université du Mans

Offre stage M2 : Utiliser des plongements de programmes pour aider les apprenants

Use program embeddings to help learners Encadrant(e)s: Nicolas Dugué and Dominique Py Host laboratory: LIUM place: Le Mans Contact : Nicolas.Dugue(at)univ-lemans.fr and Dominique.Py(at)univ-lemans.fr Application: Send CV + cover letter to Nicolas Dugué and Dominique Py before November 20, 2022. Description: By computer modeling the distributional hypothesis of linguists, specialists in automatic language processing have […]

Offre de stage M2 : Classification des émotions vocales à l’aide d’un modèle de régression sur la représentation dimensionnelle

LST

Speech emotion classification using regression model on dimensional representation Encadrant(e)s: Meysam SHAMSI Host laboratory: LIUM place: Le Mans Contact : Meysam.Shamsi(at)univ-lemans.fr Application: Send CV + cover letter to Meysam Shamsi before November 18, 2022. Problem: There are two main approaches for modeling emotion recognition problem. Emotions can be categorized with different labels [1] such […]

Offre de stage M2 : Apprentissage continu pour l’évaluation objective de la parole synthétique

LST

Continuous learning for objective evaluation of synthetic speech Encadrant(e)s: Meysam SHAMSI Host laboratory: LIUM place: Le Mans Contact : Meysam.Shamsi(at)univ-lemans.fr Application: Send CV + cover letter to Meysam Shamsi before November 18, 2022. Context and objectives: The main objective of a text-to-speech (TTS) system and a speech conversion system is to synthesize or generate […]

Thomas Thébaud

LST

PhD defence, Thomas Thébaud Date : 21/10/2022 Time : 9h45 Location : IC2, Le Mans University Title : Spoofing attacks using behavioural biometric data reconstruction and statistical alignments Jury members : Najim DEHAK, Associate Professor, Johns Hopkins Whiting School of Engineering, Reviewer Sébastien MARCEL, Professeur, IDIAP, Reviewer Ruben VERA-RODRIGUEZ, Associate Professor, Universidad de […]

Yevhenii Prokopalo

LST

PhD defence, Yevhenii Prokopalo Date : 20/10/2022 Time : 14h00 Location : IC2, Boardroom and online Title : Human assisted correction for speaker diarization of an incremental collection of documents Jury members : Claude BARRAS, Chercheur, HDR, Vocapia, Reviewer Corinne FREDOUILLE, Professeur, LIA, Avignon, Reviewer Sophie ROSSSET, Professeur, Université Paris Saclay, Examiner Hervé […]

Fête de la science

IEIAH-LST

The LIUM present at the Science Fair Date: 15 and 16 october 2022 Time: 10h00 – 18h00 Location: Le Mans (Abbaye de l’Epau) and Laval (Laval Virtual Center) More information and complet programme in Sarthe and in Mayenne In Le Mans : AI and climate change: incompatible? The LIUM is specialized in the automatic […]

Séminaires Valentin Pelloin et Martin Lebourdais

LST

Seminar from Valentin Pelloin and Martin Lebourdais, PhD students at LIUM Date: 14/10/2022 Time: 11h00 Localization: IC2 Boardroom, Speakers: Valentin Pelloin et Martin Lebourdais ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks Valentin Pelloin We aim at improving spoken language modeling (LM) using very large amount of automatically transcribed […]

Simon Guillot

LST

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 […]

LST half-day

LST

LST day On October 6th, the day of the LST team takes place. On this occasion, researchers – the young and the more experienced – present their research themes.

Le LIUM à la Nuit Européenne des Chercheur.e.s

LST

The LIUM at the European Researchers’ Night Date: 30/09/2022 Time: de 18h to midnight Localization: Les Quinconces See the Complet programme THE UNEXPECTED IN ARTIFICIAL INTELLIGENCE SYSTEMS Artificial intelligence is present in our daily lives. These technologies based on learning models from data allow machines to perform complex tasks. We believe that machines and their […]