Gaël Richard
Also known as Gael Richard
Gaël Richard works on machine learning for speech and audio. His work covers analysis, transformation, understanding and automatic indexing of acoustic signals, including methods for separating audio sources. He received the IMT–Académie des Sciences Grand Prix in 2020 and an ERC Advanced Grant for HI-Audio in 2022. His interests include machine listening, music information retrieval, audio segmentation and recognition. As of October 2026, he is a Télécom Paris professor and scientific director of Hi! PARIS. His research connects signal-processing models with learning methods.
- Now at
- Télécom Paris and Hi! PARIS
- Works
- 602
- Citations
- 7,362
- h-index
- 45
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2019
Machine listening for sounds and music
He gave a 2019 invited talk on machine listening for sounds and music. His research interests include audio indexing, speech segmentation and recognition of musical instruments. These topics concern learning useful information from acoustic signals.
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2020
Research recognition
He received the IMT–Académie des Sciences Grand Prix in 2020.
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2022
HI-Audio research support
He received a 2022 ERC Advanced Grant for HI-Audio, an AI-for-sounds project. He also gave a 2022 talk on hybrid deep learning for audio.
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As of October 2026
Models for interpreting sound
His research covers source separation, music information retrieval, acoustic segmentation and source models. He is a professor at Télécom Paris and scientific director of Hi! PARIS.
Sources and credits
Photo: ellis.eu; Gaël Richard profile photograph; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.