ContactContact
Tél. 01 75 31 92 10
Site web personnelPersonal Web Site
Équipe de recherche :Research Team:
Signal, Statistique et Apprentissage (S2A)Signal, Statistics and Learning (S2A)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Site web personnelPersonal Web Site
Équipe de recherche :Research Team:
Signal, Statistique et Apprentissage (S2A)Signal, Statistics and Learning (S2A)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Repères biographiquesShort Biography
After a PhD in Inria Nancy Grand-Est entitled “alpha-stable process for signal processing”, Mathieu Fontaine was a Postdoc from October 2019 to August 2021 at RIKEN Artificial Intelligence Project (AIP) and became a guest at Kyoto University. He is now Associate Professor in Télécom Paris. His interests are mainly on machine listening including, but not limited, to speech enhancement, speaker separation, source localization and music source separation using heavy-tailed probabilistic models and/or deep bayesian networks with also applications in augmented reality.
Activités : enseignement, recherche, projetsActivities : Teaching, Research, Projects
Research activities
- (2024-2028) → CIEDS Project (FakeDetect) on multimodality for deep fake detection (Collaborator) (~150k€)
- (2024) → HI! Project (DARHAM) on dataset of augmented reality headset for acoustic matching (P.I.) (~10k€)
- (2023-2026) → ANR JCJC (SAROUMANE) on speaker diarization (P.I.) (~270k€)
- (2022-2024) → HI! Project (MASTER-AI) on stochastic models for artificial intelligence (P.I.) (~10k€)
- Mathieu is also a guest scientist at RIKEN AIP and is involved in the Audio Data Analysis and Signal Processing (ADASP) group, the « Joint Laboratory » LISTEN at Télécom Paris and the joint lab FinAI with BNPP. He is also an ELLIS Member.
Teaching activities
- MDI-104 → Theory & Probability
- SI-101 → Fundamentals for signal processing (project-based learning)
- TSIA202a →Time series, AR/ARMA …
- TSIA202b → Periodogram, HR methods …
- TSIA206 → Audio Source Separation
PublicationsPublications
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