Mathieu Fontaine

Mathieu Fontaine

Associate Professor in Machine Listening

Télécom Paris, LTCI lab. - IDS Department - S2A team - ADASP group

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 is 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.

Interests
  • Machine Listening
  • Machine & Deep Learning
  • Bayesian models
  • Augmented Reality
Education
  • PhD in Informatics, 2019

    Lorraine University

  • Master degree in Applied and Fundamental Mathematics,, 2015

    Poitiers University

  • BSc in Fundamental Mathematics, 2013

    Rennes University

Skills

Python

70%

Signal Processing

80%

Machine/Deep Learning

60%

Selected Publications

A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis

Contact