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 (). 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 Inf...
We present a framework for discussing tonality in Elec-tronic Dance Music (EDM) which highlights how...
Relative to other datasets, state-of-the-art tempo estimation algorithms perform poorly on the Giant...
A collection of automatically generated DJ mixes with ground truth, based on creative-commons-licens...
The GiantSteps+ EDM Key Dataset includes 600 two-minute sound excerpts from various EDM subgenres, a...
We present two new data sets for automatic evaluation of tempo estimation and key detection algorith...
Comunicació presentada a: the 16th International Society for Music Information Retrieval Conference ...
This dissertation revolves around the task of computational key estimation in electronic dance music...
Comunicació presentada a la 38th European Conference on IR Research (ECIR 2016), celebrada els dies ...
This dissertation revolves around the task of computational key estimation in electronic dance music...
Comunicació presentada a: 2017 AES International Conference on Semantic Audio, celebrada del 22 al 2...
Key detection in electronic dance music is important for producers and DJ’s who want to mix their tr...
The following article contains a proposed typology of sampled material within electronic dance music...
Comunicació presentada a: ISMIR 2017, celebrat a Suzhou, Xina, del 23 al 27 d'octubre de 2017While a...
Humans identify with three basic components of music: melody, harmony, and rhythm, in order to descr...
<p>This report describes the digital humanities project on music similarity. The project is a collab...
We present a framework for discussing tonality in Elec-tronic Dance Music (EDM) which highlights how...
Relative to other datasets, state-of-the-art tempo estimation algorithms perform poorly on the Giant...
A collection of automatically generated DJ mixes with ground truth, based on creative-commons-licens...
The GiantSteps+ EDM Key Dataset includes 600 two-minute sound excerpts from various EDM subgenres, a...
We present two new data sets for automatic evaluation of tempo estimation and key detection algorith...
Comunicació presentada a: the 16th International Society for Music Information Retrieval Conference ...
This dissertation revolves around the task of computational key estimation in electronic dance music...
Comunicació presentada a la 38th European Conference on IR Research (ECIR 2016), celebrada els dies ...
This dissertation revolves around the task of computational key estimation in electronic dance music...
Comunicació presentada a: 2017 AES International Conference on Semantic Audio, celebrada del 22 al 2...
Key detection in electronic dance music is important for producers and DJ’s who want to mix their tr...
The following article contains a proposed typology of sampled material within electronic dance music...
Comunicació presentada a: ISMIR 2017, celebrat a Suzhou, Xina, del 23 al 27 d'octubre de 2017While a...
Humans identify with three basic components of music: melody, harmony, and rhythm, in order to descr...
<p>This report describes the digital humanities project on music similarity. The project is a collab...
We present a framework for discussing tonality in Elec-tronic Dance Music (EDM) which highlights how...
Relative to other datasets, state-of-the-art tempo estimation algorithms perform poorly on the Giant...
A collection of automatically generated DJ mixes with ground truth, based on creative-commons-licens...