基于音色单元分布的音乐结构分析

音乐的结构是音乐作品表达作者思想的一种重要形式,也是听众理解音乐作品内涵的有效途径。本文研究了基于音乐特征的音色单元建模方法,研究了在Fisher准则下,根据局部范围音色单元的分布,采用非监督聚类方法分析音乐的结构。实验结果证明了基于离散余弦变换的音色特征,用音色单元分布聚类算法进行音乐结构分析的有效性。

Music structure analysis based on timbre unit distribution

Music structure is not only an important form of the music works to express artists' ideas, but also is an effective way for listeners to understand the meaning of the music. This paper proposes a timbre unit modeling method based on musical features, using unsupervised clustering method to analyze music structure according to the distribution of local timbre units, with the amended Fisher rule. The experiment results show that the unsupervised clustering algorithm with DCT-based chroma feature is an effective way to analyze the music structure.