基于重复和声的音乐结构分割

W. B. Haas, A. Volk, F. Wiering
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引用次数: 8

摘要

在本文中,我们提出了一种简单而强大的方法,用于基于和弦序列中重复的音乐片段的结构分割,称为FORM。和声中的重复是构成音乐形式的一个基本因素。然而,音乐中重复模式的发现仍然是一个开放的问题,在和弦序列中还没有解决。FORM依赖于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。这种新颖的方法补充了其他分割方法,这些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FORM对649首流行歌曲的分割质量,并表明FORM优于两种基线方法。通过FORM,我们探索了利用音乐重复进行结构分割的新方法,产生了灵活实用的算法,并更好地理解了音乐重复。
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Structural Segmentation of Music Based on Repeated Harmonies
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.
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