Job Description

The position will be a part of the ERC Advanced (2022) – HI-Audio (Hybrid and Interpretable Deep neural audio machines) project (https://hi-audio.imt.fr/ ), which aims at building hybrid deep approaches combining parameter-efficient and interpretable models with modern resource-efficient deep neural architectures with applications in speech/audio scene analysis, music
information retrieval and sound transformation and synthesis.

The potential topics include (and are not limited to):
- Deep generative models, adversarial learning
- Attention-based models and curriculum learning
- Statistical/deterministic audio models (signal models, sound propagation models,…)
- with applications to MIR, Music synthesis or DCASE

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