Emmanuelle Billard – Page 2 – Laboratoire d'Informatique de l'Université du Mans

Analyse et quantification des représentations genrées dans les médias audiovisuels : cinq années d’intéractions entre la recherche, les acteurs politiques et le grand public

Seminare from David Doukhan, researcher et Ina Date: 12/12/2024 Time : 14h00 Place: IC2, Boardroom Speaker: David Doukhan Analysing and quantifying gendered representations in the audiovisual media: five years of interaction between research, political players and the general public Summary: The media have been described by the philosopher Michel Foucault as […]

From document to program embeddings: can distributional hypothesis really be used on programming languages?

LST

Seminar from Thibaut Martinet, PhD student at LIFO, Orléans University Date: 06/12/2024 Time: 10h15 Place: IC2, Boardroom Speaker: Thibaut Martinet From document to program embeddings: can distributional hypothesis really be used on programming languages? Programming language processing is a field of increasing interest, as more and more models become available, either […]

Liste des sujets de stage recherche Master 1 et 2

IEIAH-LST

The list of Master 2 research internships available at LIUM is visible here. To apply, send a letter of motivation and CV to the contact indicated for each subject.

Offre stage M2 : Machine Learning for Acoustic-Based Keystroke Recognition: A Study on Security Vulnerabilities

LST

Machine Learning for Acoustic-Based Keystroke Recognition: A Study on Security Vulnerabilities Supervsisors : Kais Hassan (LAUM), Meysam Shamsi (LIUM) Host Laboratory: Laboratoire d’Informatique de l’Université du Mans (LIUM) – Laboratoire d’Acoustique de l’Université du Mans (LAUM). Location : Le Mans Université Beginning of internship: February 2025 Contact : Kais Hassan, Meysam Shamsi (firstname.name@univ-lemans.fr)

Offre stage M2 : Construction de Sound Zones par apprentissage automatique sur un large jeu de données

LST

Constructing Sound Zones using machine learning on a large dataset Supervsisors : Théo Mariotte (LIUM), Manuel Melon (LAUM), Marie Tahon (LIUM) Host Laboratory: Laboratoire d’Informatique de l’Université du Mans (LIUM) – Laboratoire d’Acoustique de l’Université du Mans (LAUM). Location : Le Mans Université Beginning of internship: Between January and March 2025 Contact : Théo Mariotte, […]

LST-days

LST

LST day The LST team day is being held on 17 October. On this occasion, the young and more experienced researchers present their research themes. There will also be a presentation on European projects by Hélène Dereszowski from DRIS. This year, 3 workshops will focus on the following themes: 1. Spoof diarization audiovisuel 2. […]

KUTED

LST

Corpus: Kurdish TED (KUTED)Licence: CreativeCommons Attribution NonCommercial-ShareAlike 4.0 International License.URL: https://huggingface.co/datasets/aranemini/kurdishtedAuthor(s): Mohammad MohammadaminiAntoine LaurentDescription Kurdish TED (KUTED) is the first Speech-to-Text-Translation (S2TT) dataset for the Central Kurdish language derived from TED Talks and TEDx. The corpus consists of 91,000 pairs, encompassing 170 hours of English audio, 1.65 million English tokens, and 1.40 million Central Kurdish […]

Offre stage M2 : Études des systèmes automatiques de traduction vocale

LST

Speech Translation System – Low-resource Languages to High-resource Languages Supervisors: Aghilas Sini (LIUM), Jane Wottawa (LIUM) Hosting lab: LIUM (Laboratoire d’Informatique de l’Université du Mans) Place: Le Mans Université Beginning of internship : March 2024 Contacts: Aghilas Sini and Jane Wottawa, (firstname.name@univ-lemans.fr) Application: Send a CV, a covering letter relevant to the proposed subject, […]

Lightweight CNNs for Face Recognition Applications

LST

Seminar from Heydi Méndez Vázquez, researcher at CENATAV Date: 09/10/2024 Time: 11h00 Place: IC2, Boardroom Speaker: Heydi Méndez Vázquez Lightweight CNNs for Face Recognition Applications Face recognition (FR) is an active research topic in computer vision and image understanding. It is one of the most used and extended biometric techniques. The […]

Natacha Miniconi

LST

Optimizing Human Intervention for Synthetic Speech Quality Evaluation: Active Learning for AdaptabilityStarting: 01/10/2024PhD Student: Natacha MiniconiAdvisor(s): Anthony LarcherCo-advisor(s): Meysam ShamsiFunding: Region TandemContext: The primary objective of Text-to-Speech (TTS), speech conversion and speech to speech translation system is to synthesize or generate a high-quality speech signal. Typically, the quality of synthetic speech is subjectively evaluated by […]