Team

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

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Keywords : machine learning, MIR

GitHub

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

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Keywords : signal Processing, deep generative models

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

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