Name
Abstract | ||
|---|---|---|
In this work, an initial study on the automatic recognition of the main Brazilian music genres is presented: Axé, Forró, MPB, Rock, Samba, and Sertanejo. Through the extraction of representative musical characteristics, automatic classification experiments were performed applying classical supervised learning algorithms and Weka ML tool. An analysis of the main available databases was also carried... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/CLEI52000.2020.00019 | 2020 XLVI Latin American Computing Conference (CLEI) |
Keywords | DocType | ISBN |
Databases,Supervised learning,Music,Tools,Rocks,Information retrieval,Classification algorithms | Conference | 978-1-6654-1560-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Júlia Luiza Conceição | 1 | 0 | 0.68 |
| Rosiane de Freitas | 2 | 0 | 1.35 |
| Bruno Gadelha | 3 | 6 | 7.61 |
| João Gustavo Kienen | 4 | 0 | 0.34 |
| Sérgio Anders | 5 | 0 | 0.34 |
| Brendo Cavalcante | 6 | 0 | 0.34 |