Seminar from Vincent Lostanlen, researcher at LS2N Date : 05/09/2025 Time : 10h00 Place : IC2, Boardroom Speaker : Vincent Lostanlen Machine learning for bioacoustics: Challenges and opportunities Abstract The recent development of inexpensive digital audio sensors, wireless communications, and high-performance computing have opened new horizons in ecology, conservation, and animal […]
AI-Day Members of the two LIUM teams (IEIAH & LST), some 40 people in all, came together for a day dedicated to artificial intelligence. This highly rewarding day was divided into two parts. After a morning dedicated to presenting the AI work of each team, highlighting innovative projects and advances made, the members of […]
LST day The LST team’s summer day is being held on 16 June. On this occasion, the researchers – both young and more experienced – present their research themes. It is also the occasion for our guest, Edwin Simonet, to present the Apside company. After a general presentation and a reminder of the year’s […]
Corpus: Central Kurdish to English Pseudo-Labeled Data for Speech Translation (Données pseudo-étiquetées de kurde central vers l’anglais pour la traduction de la parole)Licence: CC BY 4.0 licenseAuthor(s): Mohammad MohammadaminiDescription In this repository, you will find large-scale pseudo-labeled data, including Central Kurdish audio translated into English. This dataset contains 1.7 million samples, equivalent to 3,000 hours […]
Seminar from Norbert Tsopze, Professor at Université Yaounde 1 Date: 13/05/2025 Time: 11h00 Place: IC2, Boardroom Speaker: Norbert Tsopze Machine Learning models explainability for text and audio classification Abstract : The interpretability of the Machine Learning models outcomes to the end user is one of the most important properties which favors […]
Seminar from Seanghort BORN, PhD student at LIUM-TEL Date: 7/04/2025 Time: 11h00 Place: IC2, Boardroom Speaker: Seanghort BORN Towards a Smarter Homophone Correction Tool: A Case Study in Khmer Writing Homophone errors are a common challenge in written communication, affecting both high-resource languages like English and low-resourced languages such as Khmer. […]
SAVID – Speaker and Audiovisual Interpretable Deepfake Detection Supervisors: Marie Tahon (director) and Aghilas Sini (co-supervisor) at LIUM and Arnaud Delhay (co-director) and Damien Lolive (co-supervisor) at l’IRISA Hosting teams : LST-LIUM et EXPRESSION-IRISA Location : Le Mans Beginning : October 2025 Contact : aghilas.sini(at)univ-lemans.fr, arnaud.delhay(at)irisa.fr Description : The proliferation of text-to-speech and facial […]
Seminar from Aran Mohammadamini, Post-doc fellow at LIUM Date: 24/03/2025 Time: 11h00 Place: IC2, Boardroom Speaker: Aran Mohammadamini Using large ASR models for training lightweight models in low-resource and computation-limited languages Low-resource languages often suffer not only from a lack of language resources but also from limited computational resources. Recent multilingual […]
Seminar from Félix Saget, PhD student at LIUM Date: 10/03/2025 Time: 11h00 Place: IC2, Boardroom Speaker: Félix Saget Advances in measuring the interpretability of speaker representation spaces Features extracted by speaker representation models have proven to be potent and versatile, yielding respectable performance in various speaker-related tasks. However, a human user […]
Aghilas Sini attended the second edition of LT4ALL, an international conference organized by UNESCO, focusing on language technologies for low-resourced and indigenous languages. Over three intensive days, 200+ participants from ~50 countries—spanning academia, NGOs, industry, and governments—gathered to discuss how technology can support linguistic diversity and improve access to knowledge worldwide. 🔹 Day 1: Showcased […]
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