Gaël Richard

Full Professor, Telecom Paris

Joined

July 2019

Names

Gaël Richard

Emails

****@telecom-paris.fr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

Telecom Paris (telecom-paris.fr)

2001 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Machine listening

Audio signal processing

Machine learning applied to speech/audio signals

Present

Publications

Harmonic-Percussive Disentangled Neural Audio Codec for Bandwidth Extension
Benoit Ginies, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
- Submitted to ICLR 2026
- Readers: Everyone
Multiple Choice Learning of Low Rank Adapters for Language Modeling
Victor Letzelter, Hugo Malard, Mathieu Fontaine, Gaël Richard, Slim Essid, Andrei Bursuc, Patrick Perez
- Submitted to ICLR 2026
- Readers: Everyone
Learning Source Disentanglement in Neural Audio Codec
Gaël Richard
- OpenReview Archive Direct Upload
- Readers: Everyone
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data
Gaël Richard
- OpenReview Archive Direct Upload
- Readers: Everyone
Unsupervised Music Source Separation Using Differentiable Parametric Source Models
Gaël Richard
- OpenReview Archive Direct Upload
- Readers: Everyone
Model-Based Deep Learning for Music Information Research
Gaël Richard
- OpenReview Archive Direct Upload
- Readers: Everyone
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
David Perera, Victor Letzelter, Theo Mariotte, Adrien Cortes, Mickael Chen, Slim Essid, Gaël Richard
- NeurIPS 2024 poster
- Readers: Everyone
Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Perez
- ICML 2024 Poster
- Readers: Everyone
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Perez, Slim Essid, Gaël Richard
- NeurIPS 2023 poster
- Readers: Everyone
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
Milad Sefidgaran, Amin Gohari, Gaël Richard, Umut Simsekli
- 29 Dec 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 17 publications

Co-Authors

View all 32 co-authors