关键词: 音乐流派分类, 基于特征间相互影响的前向特征选择算法(IBFFS), 特征选择, 音乐标签, LDA 模型

Abstract:

According to the automatic music genre classification, propose a concept of multi-modal music genre classification. For the feature selection step in the traditional method which is based on the low-level acoustic features,realize a novel feature selection algorithm interaction based forward feature selection (IBFFS). Use LDA(latent Dirichlet allocation) model tags which are available on the Internet, convert the probability of tags for each genre into the probability of music resources for each genre responding to the tags.

Key words: music genre classification, interaction based forward feature selection (IBFFS), feature selection, music tags, latent Dirichlet allocation (LDA)