期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：91
期号：1
出版社：Journal of Theoretical and Applied
摘要：In a song played by multiple instruments, there is distribution of periodicities that comes from different playing patterns among groups of instruments. We propose a visualization of this distribution for analyzing song structure of Javanese gamelan music. A predefined number of periodicities along with their confidence levels are obtained using comb filter resonator. The filter is applied to the auto-correlation function of overlapping analysis frames of the musical track. We cluster the distribution based on the proximity of two parameters, which are periodicity and confidence level. In this way, we assume that each cluster center represents the periodicity of a group of instruments. We observe four features of the visualization, namely the width and the average height of periodicity distribution, the pattern of dominant periodicities, and the fluctuation of the most dominant periodicity. Those features implicitly give us information regarding the strength applied to the notes, the estimated number of instruments, and the accent of song according to those features, from which we make an inference about the structure. We provide the experiment with a database of thirty Javanese gamelan songs and compare the analysis of lancaran, ladrang, and ketawang song structures. The results show that using this method, lancaran received the highest performance, which is 0.94 F-measure, followed by ketawang and ladrang with F-measure of 0.90 and 0.75 respectively.
关键词：Comb Filter Resonator; Confidence Level; Periodicity Distribution; Song Structure Analysis; Javanese Gamelan Music
