CloserMusicDB: A Modern Multipurpose Dataset of High Quality Music
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 6 references that are in the map. First posted on arXiv 25 Oct 2024.
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References · 4
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2023Adapting Frechet Audio Distance for Generative Music Evaluationcited by 92
- 2017Transfer learning for music classification and regression taskscited by 36
- 2021Music Classification: Beyond Supervised Learning, Towards Real-world Applicationscited by 7
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