基于熵和分形空隙度的音乐类型分类

2011 IEEE International Symposium on Multimedia Pub Date : 2011-12-01 DOI:10.1109/ISM.2011.94

A. Goulart, Carlos Dias Maciel, R. Guido, Katia Cristina Silva Paulo, Ivan Nunes da Silva

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引用次数: 6

摘要

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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Music Genre Classification Based on Entropy and Fractal Lacunarity

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.

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2011 IEEE International Symposium on Multimedia

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