Profile
Project title:
Beyond Supervised Learning for Musical Audio (in collaboration withl Music Group)
C4DM theme affiliation:
Music Informatics, Machine Listening
Research
Research Interests:
Currently interested in representation learning and building music-specialized self-supervised learning strategies through multimodality, multiscale, hierarchy, and domain knowledge. Other interests include differentiable audio effects, sound synthesis and generation, and low-resource learning for music.
/filters:format(webp)/prod01/channel_164/school-of-electronic-engineering-and-computer-science/media/eecs/phd-students/4.-Julien-AIM-CDT-2023.png)