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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


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    題名: Algorithmic Compositions Based on Discovered Musical Patterns
    作者: 沈錳坤
    Shan,Man-Kwan;Chiu,Shih-Chuan
    貢獻者: 資科系
    關鍵詞: Algorithmic composition;Data mining;Music style;Repeating patterns
    日期: 2010.01
    上傳時間: 2013-11-08 11:58:08 (UTC+8)
    摘要: 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.
    關聯: Multimedia Tools and Applications, 46(1) , 1-23
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1007/s11042-009-0303-y
    DOI: 10.1007/s11042-009-0303-y
    顯示於類別:[資訊科學系] 期刊論文

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