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Thomas Lidy

1 accepted papers

2023

Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity

ICASSP 2023accepted

In this work, we investigate an approach that relies on contrastive learning and music metadata as a weak source of supervision to train music representation models. Recent studies show that contrastive learning can be used with editorial metadata (e.g., artist or album name) to learn audio represen…

Cited by 0SourceScholar