Name
Abstract | ||
|---|---|---|
In this letter, we present an automatic music genre classification scheme based on a Gaussian Mixture Model (GMM) classifier. The proposed technique adopts entropies and lacunarities as features for the classifications. Tests were carried out with four styles of Brazilian music, namely Ax é, Bossa Nova, Forro 麓, and Samba. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISM.2011.94 | ISM |
Keywords | Field | DocType |
gaussian mixture model,proposed technique,automatic music genre classification,brazilian music,fractal lacunarity,music genre classification,bossa nova,fractals,gmm,accuracy,audio signal processing,feature extraction,gaussian processes,lacunarity,music,entropy | Pattern recognition,Computer science,Fractal,Classification scheme,Feature extraction,Gaussian process,Artificial intelligence,Lacunarity,Audio signal processing,Classifier (linguistics),Mixture model | Conference |
ISBN | Citations | PageRank |
978-1-4577-2015-4 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Jose Homsi Goulart | 1 | 0 | 0.34 |
| Carlos Dias Maciel | 2 | 109 | 18.95 |
| Rodrigo Capobianco Guido | 3 | 161 | 27.59 |
| Katia Cristina Silva Paulo | 4 | 7 | 0.84 |
| Ivan Nunes da Silva | 5 | 176 | 52.11 |