DocumentCode
2936760
Title
Music Genre Classification Based on Entropy and Fractal Lacunarity
Author
Goulart, Antonio Jose Homsi ; Maciel, Carlos Dias ; Guido, Rodrigo Capobianco ; Paulo, Katia Cristina Silva ; Silva, Ivan Nunes da
Author_Institution
Sch. of Eng. at Sao Carlos, Univ. of Sao Paulo, Sao Carlos, Brazil
fYear
2011
fDate
5-7 Dec. 2011
Firstpage
533
Lastpage
536
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 Axe, Bossa Nova, Forro, and Samba.
Keywords
Gaussian processes; audio signal processing; entropy; music; Axe; Bossa Nova; Brazilian music; Forro; Gaussian mixture model classifier; Samba; automatic music genre classification; entropy; fractal lacunarity; Accuracy; Entropy; Feature extraction; Fractals; Humans; Music; Training; GMM; automatic music genre classification; entropy; lacunarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia (ISM), 2011 IEEE International Symposium on
Conference_Location
Dana Point CA
Print_ISBN
978-1-4577-2015-4
Type
conf
DOI
10.1109/ISM.2011.94
Filename
6123402
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