Musical structure analysis using similarity matrix and dynamic programming

Yu Shiu; Hong Jeong; C.-C. Jay Kuo

doi:10.1117/12.633792

24 October 2005 Musical structure analysis using similarity matrix and dynamic programming

Yu Shiu, Hong Jeong, C.-C. Jay Kuo

Proceedings Volume 6015, Multimedia Systems and Applications VIII; 601516 (2005) https://doi.org/10.1117/12.633792
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

Automatic music segmentation and structure analysis from audio waveforms based on a three-level hierarchy is examined in this research, where the three-level hierarchy includes notes, measures and parts. The pitch class profile (PCP) feature is first extracted at the note level. Then, a similarity matrix is constructed at the measure level, where a dynamic time warping (DTW) technique is used to enhance the similarity computation by taking the temporal distortion of similar audio segments into account. By processing the similarity matrix, we can obtain a coarse-grain music segmentation result. Finally, dynamic programming is applied to the coarse-grain segments so that a song can be decomposed into several major parts such as intro, verse, chorus, bridge and outro. The performance of the proposed music structure analysis system is demonstrated for pop and rock music.

Citation Download Citation

Yu Shiu, Hong Jeong, and C.-C. Jay Kuo "Musical structure analysis using similarity matrix and dynamic programming", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 601516 (24 October 2005); https://doi.org/10.1117/12.633792

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