Music Genre Classification Based on Entropy and Fractal Lacunarity

A. Goulart, Carlos Dias Maciel, R. Guido, Katia Cristina Silva Paulo, Ivan Nunes da Silva
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引用次数: 6

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 ´e, Bossa Nova, Forro ´, and Samba.
基于熵和分形空隙度的音乐类型分类
在这篇文章中,我们提出了一个基于高斯混合模型(GMM)分类器的音乐类型自动分类方案。该方法采用熵和缺度作为分类的特征。测试使用了四种巴西音乐风格,即Ax ' e, Bossa Nova, Forro '和Samba。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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