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Harmonic and Instrumental Information Fusion for Musical Genre Classification

机译:音乐风格分类的谐波与器乐信息融合

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摘要

This paper presents a musical genre classification system based on the combination of two kinds of information of very different nature: the instrumentation information contained in a MIDI file (metadata) and the chords that provide the harmonic structure of the musical score stored in that file (content). The fusion of these two information sources gives a single feature vector that represents the file and to which classification techniques usually utilized for text categorization tasks are applied. The classification task is performed under a probabilistic approach that has improved the results previously obtained for the same data using the instrumental or the chord information independently.
机译:本文提出了一种音乐流派分类系统,该系统基于两种性质截然不同的信息的组合:MIDI文件(元数据)中包含的乐器信息和提供存储在该文件中的乐谱的和声结构的和弦(内容)。这两个信息源的融合给出了代表文件的单个特征向量,并且将通常用于文本分类任务的分类技术应用于该特征向量。分类任务是在概率方法下执行的,该概率方法使用乐器或和弦信息独立地改善了先前针对相同数据获得的结果。

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