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dc.contributor.authorBrown, Andrew R.
dc.contributor.authorTowsey, Michael
dc.contributor.authorWright, Susan
dc.contributor.authorDiederich, Joachim
dc.date.accessioned2010-06-08
dc.date.available2010-06-08
dc.date.issued2001-01-01
dc.identifier.citationComputing Arts 2001 : digital resources for research in the humanities : 26th-28th September 2001, Veterinary Science Conference Centre, the University of Sydney / hosted by the Scholarly Text and Imaging Service (SETIS), the University of Sydney Library, and the Research Institute for Humanities and Social Sciences (RIHSS), the University of Sydneyen_AU
dc.identifier.urihttp://hdl.handle.net/2123/6205
dc.description.abstractMuch has been written about the rules of melody writing and this paper reports research that uses computer-based statistical analysis to test the efficacy of these rules. As a method to assist in the computer generation of melodies, we have devised computer software that analyses melodic features. This paper will outline the melodic features identified in melody-writing literature and the results of their fit with our statistical analysis of melodies from the western music repertoire. We will also present details of the computer-based analysis software and the jMusic software environment in which it was built. The software and jMusic environment are open source software projects that are freely available, and so opportunities to develop these tools to suit other music analysis tasks will be discussed.en_AU
dc.description.sponsorshipHosted by the Scholarly Text and Imaging Service (SETIS), the University of Sydney Library, and the Research Institute for Humanities and Social Sciences (RIHSS), the University of Sydney.en_AU
dc.language.isoenen_AU
dc.publisherResearch Institute for Humanities and Social Sciences (RIHSS), the University of Sydney.en_AU
dc.rightsCopyright the University of Sydneyen
dc.subjectHumanities Computingen_AU
dc.subjectMusicen_AU
dc.titleStatistical analysis of the features of diatonic music with jMusicen_AU
dc.typeConference paperen_AU


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