Paper ID: 2410.19540

CloserMusicDB: A Modern Multipurpose Dataset of High Quality Music

Aleksandra Piekarzewicz, Tomasz Sroka, Aleksander Tym, Mateusz Modrzejewski

In this paper, we introduce CloserMusicDB, a collection of full length studio quality tracks annotated by a team of human experts. We describe the selected qualities of our dataset, along with three example tasks possible to perform using this dataset: hook detection, contextual tagging and artist identification. We conduct baseline experiments and provide initial benchmarks for these tasks.

Submitted: Oct 25, 2024