Scholar
Mathieu Fontaine
Google Scholar ID: xDMdhVgAAAAJ
Associate Professor, Télécom ParisTech
Citations & Impact
Citations
231
H-index
8
i10-index
5
Publications
20
Co-authors
32
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in international conferences such as ICASSP and NeurIPS, including 'A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2' and 'GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model'.
Research Experience
- Postdoc from October 2019 to August 2021 at RIKEN AIP and became a guest at Kyoto University. Currently an Associate Professor at Télécom Paris.
Education
- PhD in Informatics, 2019, Lorraine University; Master's degree in Applied and Fundamental Mathematics, 2015, Poitiers University; BSc in Fundamental Mathematics, 2013, Rennes University.
Background
- Research interests: Machine Listening, Machine & Deep Learning, Bayesian models, Augmented Reality. Specializes in signal processing, particularly in speech enhancement, speaker separation, source localization, and music source separation using heavy-tailed probabilistic models and/or deep Bayesian networks.
Miscellany
- Contact: mathieu.fontaine@telecom-paris.fr, +33 175 319 210, Address: 19 Place Marguerite Perey, Palaiseau, 91120, 5C62
