Abstract
Forró is an important genre that has been developing the cultural identity of Brazil and it is one of the most consumed by Brazilians on Spotify. However, the lack of datasets and their specificity leads to less research about this genre. In order to overcome this issue, it is presented a set of data roughly compounded by 3000 songs named Forroset, which provides editorial information, audio features, information of rhythm, and audio files from Spotify. Furthermore, over 1400 lyrics of songs were obtained by the Vagalume platform. When Forroset is compared to other sets of data, it was seen that our dataset is more powerful regarding the diversity of information heading to comprehensive problems resolution.
Supported by CAPES. Financing code 001 and Fellowship 88887.517813/2020-00.
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Ferreira-Paiva, L. et al. (2022). Forroset: A Multipurpose Dataset of Brazilian Forró Music. In: Bicharra Garcia, A.C., Ferro, M., Rodríguez Ribón, J.C. (eds) Advances in Artificial Intelligence – IBERAMIA 2022. IBERAMIA 2022. Lecture Notes in Computer Science(), vol 13788. Springer, Cham. https://doi.org/10.1007/978-3-031-22419-5_2
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