Sparse Autoencoders Make Audio Foundation Models more Explainable

Seminar from Théo Mariotte, researcher at LIUM   Date : 03/11/2025 Time : 10h30 Place : IC2, Boardroom Speaker : Théo Mariotte     Sparse Autoencoders Make Audio Foundation Models more Explainable   Abstract : Audio pretrained models are widely employed to solve various tasks in speech processing, sound event detection, or music information retrieval. […]

Pr. Iza Marfisi – Keynote at ECEL25

Pr. Iza Marfisi is a keynote speaker at the 24th European Conference on e‑Learning   Date : 23-24/10/2025 Lieu : Copenhagen, Danemark Intervenant : Pr. Iza Marfisi   Pr. Iza Marfisi is a keynote speaker at the upcoming European Conference on e‑Learning in Copenhagen on October 23rd and 24th. The subject of her keynote is […]

Double séminaire Deepfake Detection

Seminars from Hoan My Tran, PhD Candidate at IRISA, and Heydi Mendez, researcher at CENATAV, Cuba   Date : 29/09/2025 Time : 10h00 Place : IC2, Boardroom Speakers : Hoan My Tran and Heydi Mendez   Summary : The rapid advances in speech synthesis and voice conversion technologies have fueled the rise of audio deepfakes, […]

Abdelkader Ouared : XAI-Profile: Vers un profilage transparent et exploitable des apprenants sur la plateforme écri+

Séminaire de Abdelkader Ouared, postdoctoral researcher at LIUM   Date : 22/09/2025 Time : 10h30 Place : IC2, Boardroom Speaker : Abdelkader Ouared     XAI-Profile: Vers un profilage transparent et exploitable des apprenants sur la plateforme écri+   Résumé : In the context of digital learning environments, understanding learner behaviour and the explainability of […]

Machine learning for bioacoustics: Challenges and opportunities

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 […]

Machine Learning models explainability for text and audio classification

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 […]

Towards a Smarter Homophone Correction Tool: A Case Study in Khmer Writing

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. […]

Séminaire de Charles Guin-Vallerand

Conception et déploiement de technologies d’assistance pour le support à la cognition basées sur l’intelligence ambiante et la réalité mixte   Date: 31/03/2025 Time: 14h Place: Cerium, salle de réunion et en visio Speaker: Charles Guin-Vallerand Résumé : Ce séminaire présente les projets de recherche du Laboratoire DOMUS de l’Université de Sherbrooke (Canada), axés sur le […]

Using large ASR models for training lightweight models in low-resource and computation-limited languages

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 […]

Advances in measuring the interpretability of speaker representation spaces

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 […]