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Structural Segmentation of Music Based on Repeated Harmonies

机译:基于重复和声的音乐结构分割

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In this paper we present a simple, yet powerful method for deriving the structural segmentation of a musical piece based on repetitions in chord sequences, called FORM. Repetition in harmony is a fundamental factor in constituting musical form. However, repeated pattern discovery in music still remains an open problem, and it has not been addressed before in chord sequences. FORM relies on a suffix tree based algorithm to find repeated patterns in symbolic chord sequences that are either provided by machine transcriptions or musical experts. This novel approach complements other segmentation methods, which generally use a self-distance matrix based on other musical features describing timbre, instrumentation, rhythm, or melody. We evaluate the segmentation quality of FORM on 649 popular songs, and show that FORM outperforms two baseline approaches. With FORM we explore new ways of exploiting musical repetition for structural segmentation, yielding a flexible and practical algorithm, and a better understanding of musical repetition.
机译:在本文中,我们提出了一种简单而有效的方法,用于根据和弦序列中的重复来导出音乐作品的结构分段,称为FORM。和声重复是构成音乐形式的基本因素。然而,音乐中重复的模式发现仍然是一个未解决的问题,并且在和弦序列中以前没有得到解决。 FORM依靠基于后缀树的算法来查找由机器转录或音乐专家提供的符号和弦序列中的重复模式。这种新颖的方法是对其他分割方法的补充,这些分割方法通常使用基于描述音色,乐器,节奏或旋律的其他音乐特征的自距离矩阵。我们评估了649首流行歌曲上FORM的分割质量,并显示FORM优于两种基线方法。借助FORM,我们探索了利用音乐重复进行结构分割,产生灵活实用的算法以及对音乐重复有更好理解的新方法。

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