CloserMusicDB: A Modern Multipurpose Dataset of High Quality Music
Mateusz Modrzejewski (Warsaw University of Technology)*, Aleksander Tym (Closer Music), Aleksandra Piekarzewicz (Closer Music), Tomasz Sroka (Closer Music)
This paper will be presented virtually at the 12:15 PM - 12:45 PM PST and 11:15 PM - 11:45 PM PST sessions
Abstract:
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.