Exploring different approaches for music genre classification

雩风三日

Exploring different approaches for music genre classification
探索音乐流派分类的不同方法

     In this letter, we present different approaches for music genre classification. The proposed techniques, which are composed of a feature extraction stage followed by a classification procedure, explore both the variations of parameters used as input and the classifier architecture. Tests were carried out with three styles of music, namely blues, classical, and lounge, which are considered informally by some musicians as being ‘‘big dividers’’ among music genres, showing the efficacy of the proposed algorithms and establishing a relationship between the relevance of each set of parameters for each music style and each classifier. In contrast to other works, entropies and fractal dimensions are the features adopted for the classifications.
    在这封信中，我们提出了不同的音乐流派分类的方法。所提出的技术，由特征提取阶段和分类程序组成，探索作为输入参数的变化和分类器体系结构。测试进行了三个风格的音乐,即蓝调,古典音乐,和休息室,被视为非正式的一些音乐家是大分规音乐流派之一,显示所提出的算法的有效性和建立关系的相关性每组参数为每个音乐风格和每一个分类器。与其他作品相比，熵和分形维数是分类所采用的特征。