Gregor Meehan

Evaluating Contrastive Methodologies for Music Representation Learning Using Playlist Data

Recent research shows that weakly supervised contrastive pre-training holds significant promise in learning improved representations of musical audio. Several such works use metadata (e.g. artist names or genre tags) or consumption data (e.g. playlists or user listening history) for cross-modal supe…