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dc.contributor.authorChiu, Shih-Chuanen_US
dc.contributor.authorShan, Man-Kwanen_US
dc.date.accessioned2014-12-08T15:24:48Z-
dc.date.available2014-12-08T15:24:48Z-
dc.date.issued2006en_US
dc.identifier.isbn978-1-4244-0099-7en_US
dc.identifier.issn1062-922Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/17243-
dc.identifier.urihttp://dx.doi.org/10.1109/ICSMC.2006.384827en_US
dc.description.abstractComputer music composition has been the dream of the computer music researcher. In this paper, we investigated the approach to discover the rules of music composition from given music objects, and automatically generate a new music object style similar to the given music objects. The proposed approach utilizes the data mining techniques to discover the rules of music composition characterized by the music properties, music structure, melody style and motif. A new music object is generated based on the discovered rules. To measure the effectiveness of proposed computer music composition approach, we adopted the method similar to the Turing test to test the discrimination between machine-generated and human-composed music. Experimental results showed that it is hard to discriminate. Another experiment showed that the style of generated music is similar to the given music objects.en_US
dc.language.isoen_USen_US
dc.titleComputer music composition based on discovered music patternsen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ICSMC.2006.384827en_US
dc.identifier.journal2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGSen_US
dc.citation.spage4401en_US
dc.citation.epage4406en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000248078504147-
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