Mathieu Fontaine

Assiociate Professor at Telecom Paris. Working on machine listening and mixed reality

[Mathieu Fontaine @MathieuFontai19]

https://t.co/txKDLBG85d

[Mathieu Fontaine @MathieuFontai19]

#INTERCATSPEECH24

[Mathieu Fontaine @MathieuFontai19]

Check our poster in 4A-3 at #interspeech2024 on "dereverberation constrained on RIR characteristics"

[Robin Scheibler @fakufakurevenge]

#INTERCATSPEECH2024

[Robin Scheibler @fakufakurevenge]

#INTERCATSPEECH2024

[Mathieu Fontaine @MathieuFontai19]

#INTERCATSPEECH2024

[Victor Letzelter @VLetzelter]

Interested in ill-posed learning tasks, uncertainty prediction, conditional density estimation or multi-head deep neural networks ?

In our new paper, accepted at #ICML24, we tackle these challenges by exploring the Winner-Takes-All (WTA) training scheme.
[1/n]

[Yoshiaki Bando @yoshipon0520]

Our paper entitled "Neural Blind Source Separation and Diarization for Distant Speech Recognition" is accepted to Interspeech 2024!
Our neural FCASA is a method to jointly separate and diarize speech mixtures without supervision by isolated signals.
https://t.co/ruPMGTX3M9

[Mathieu Fontaine @MathieuFontai19]

INTERSPEECH paper for @tp_adasp:
# 5 - RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation, Liam Kelley, Diego Di Carlo, Mathieu Fontaine,
Aditya Arie Nugraha, Yoshiaki Bando

[Mathieu Fontaine @MathieuFontai19]

INTERSPEECH paper for @tp_adasp:
# 4 - Speech dereverberation constrained on room impulse response characteristics, Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard

[Mathieu Fontaine @MathieuFontai19]

ICML paper for @tp_adasp:
# 3 - Winner-takes-all learners are geometry-aware conditional density estimators

[Mathieu Fontaine @MathieuFontai19]

EUSIPCO papers for @tp_adasp:

#2 - A. Emelchenkov, M. Fontaine, Y. Grenier, H. Mahé, F. Roueff; Multifrequency highly oscillating aperiodic amplitude estimation for nonlinear chirp signal

[Mathieu Fontaine @MathieuFontai19]

EUSIPCO 2024 at @tp_adasp:
#1 - B. Giniès, X. Bie, O. Fercoq, G. Richard, Using Random Codebooks for Audio Neural AutoEncoders
#audio #ai

[Mathieu Fontaine @MathieuFontai19]

ADASP presentation at ICASSP #3
@tp_adasp #Audio

Anyways, proud of them ;)

[Mathieu Fontaine @MathieuFontai19]

ADASP poster at ICASSP #2
@tp_adasp #Audio

[Mathieu Fontaine @MathieuFontai19]

ADASP posters at ICASSP #1.
@tp_adasp #Audio

[Peeters Geoffroy @GeoffroyPeeters]

@adasp group from ⁦⁦@telecomparis⁩ @ieeeICASSP⁩ 2014, Seoul, Korea

[Mathieu Fontaine @MathieuFontai19]

3 accepted papers for ICASSP. See you in South Korea !

[valeo.ai @valeoai]

Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
by @VLetzelter @MathieuFontai19 @Mickael_Chen P. Pérez, S. Essid, G. Richard
tl;dr: extend MCL for cond. distrib. estimation in regression #neurips2023
https://t.co/g4S1eVFAM0

[Ego4D @ego4_d]

Today, we announce Ego-Exo4D, the largest and most diverse multi-view dataset, showing human experts around the world performing a core set of skilled activities, w/ unprecedented multi-modality, novel new video-language resources, and rich annotations