Real-time genre classification for music digital libraries

J. S. Downie, Andreas F. Ehmann, D. Tcheng
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引用次数: 6

Abstract

This paper describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface
音乐数字图书馆的实时类型分类
本文描述了一个实时的基于音频的自动音乐类型分类器,用于组织、浏览和搜索音乐数字图书馆。在40维特征空间上训练的决策树分类器用于将音乐分类为14种不同的流派之一,结果显示在不断更新的用户界面上
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