Principal investigator

Gaël Richard

Gaël Richard

Professor at Télécom Paris, Institut Polytechnique de Paris
Gaël Richard is the scientific co-director of Hi! Paris. His research work lies at the core of digitization and is dedicated to the analysis, transformation, understanding and automatic indexing of acoustic signals (including speech, music, environmental sounds) and to a lesser extent of heterogeneous and multimodal signals. In particular, he developed several source separation methods for audio and musical signals based on machine learning approaches. He has received in 2020 the Grand Prix IMT-Académie des Sciences. In 2022 his project Hi-Audio earned him an advanced ERC Grant of the European Union.

Keywords : machine listening, MIR, machine learning, data decomposition, representation learning

Check his website

PhD Students

Manvi Agarwal

Manvi Agarwal

PhD Student

Keywords : machine learning, MIR

GitHub

Louis Barhman

Louis Barhman

PhD Student

Keywords : deep learning, machine learning, machine listening, speech processing reverberation

GitHub | LinkedIn | Google Scholar

Bernardo Torres

Bernardo Torres

PhD Student

Keywords : signal Processing, deep generative models

LinkedIn

Post-docs

Changhong Wang

Changhong Wang

Postdoctoral Researcher

Keywords : explainable audio models, deep learning models, audio signals

GitHub | Google Scholar

Research Engineer

Jose Pinal

Research Engineer at Télécom Paris