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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Salsa Dataset

Research datakeyboard_double_arrow_right Dataset 29 Jul 2024 English Publisher:Universidad Icesi
Authors: Gómez-Marín, Daniel; Ospina, Rafael; Díaz-Celi, Javier;

doi: 10.5281/zenodo.13120821 , 10.5281/zenodo.13120822

Abstract

Salsa Dataset The Salsa Dataset comprises beat annotations, spectrograms and audio fragments for 124 salsa music tracks, created by expert annotators. Salsa is a musical genre known for its intricate yet captivating rhythms, deeply rooted in Latin American culture. This dataset is an academic resource intended for beat estimation and related studies within the salsa music domain. This repository is introduced in the paper Salsa, a Dataset for Beat Estimation in Salsa Music published in the Transactions of the International Society for Music Information Retrieval Journal. DOI: 10.5334/tismir.183 If you use this dataset for your reasearch please cite this paper. Get in touch if you need the complete audio files for academic purpose.

Related Organizations
Keywords

Latin American studies, salsa music, Musicology, Popular music studies, beat estimation, rhythm

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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