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ZENODO
Dataset . 2017
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY SA
Data sources: ZENODO
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ZENODO
Dataset . 2017
License: CC BY SA
Data sources: Datacite
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Beatport EDM Key Dataset

Authors: Faraldo, Ángel;

Beatport EDM Key Dataset

Abstract

The Beatport EDM Key Dataset includes 1,486 two-minute sound excerpts from various EDM subgenres, annotated with single-key labels, comments and confidence levels generously provided by Eduard Mas Marín, and thoroughly revised and expanded by Ángel Faraldo. The original audio samples belong to online audio snippets from Beatport, an online music store for DJ's and Electronic Dance Music Producers (<http:\\www.beatport.com>). If this dataset were used in further research, we would appreciate the citation of the current DOI (10.5281/zenodo.1101082) and the following doctoral dissertation, where a detailed description of the properties of this dataset can be found: Ángel Faraldo (2017). Tonality Estimation in Electronic Dance Music: A Computational and Musically Informed Examination. PhD Thesis. Universitat Pompeu Fabra, Barcelona. This dataset is mainly intended to assess the performance of computational key estimation algorithms in electronic dance music subgenres.

Keywords

tonality induction, key estimation, electronic dance music, beatport

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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