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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/61531

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61531

Title:	Algorithmic Compositions Based on Discovered Musical Patterns
Authors:	沈錳坤 Shan,Man-Kwan;Chiu,Shih-Chuan
Contributors:	資科系
Keywords:	Algorithmic composition;Data mining;Music style;Repeating patterns
Date:	2010.01
Issue Date:	2013-11-08 11:58:08 (UTC+8)
Abstract:	Computer music composition is the dream of computer music researchers. In this paper, a top-down approach is investigated to discover the rules of musical composition from given music objects and to create a new music object of which style is similar to the given music objects based on the discovered composition rules. The proposed approach utilizes the data mining techniques in order to discover the styled rules of music composition characterized by music structures, melody styles and motifs. A new music object is generated based on the discovered rules. To measure the effectiveness of the proposed approach in computer music composition, a method similar to the Turing test was adopted to test the differences between the machine-generated and human-composed music. Experimental results show that it is hard to distinguish between them. The other experiment showed that the style of generated music is similar to that of the given music objects.
Relation:	Multimedia Tools and Applications, 46(1) , 1-23
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1007/s11042-009-0303-y
DOI:	10.1007/s11042-009-0303-y
Appears in Collections:	[資訊科學系] 期刊論文

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