A complete optical music recognition system : looking to the future

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dc.contributor.authorBainbridge, David
dc.date.accessioned2014-10-06T01:29:21Z
dc.date.available2014-10-06T01:29:21Z
dc.date.issued1994en
dc.description.abstractReading music is something a child can learn, and once understood, it becomes such a natural process that it is no longer a conscious effort. If we were to dissect this `natural process,' we might hypothesise that reading music is decomposed into two parts: the visual recognition of graphical shapes; and the application of our musical knowledge to derive its meaning. A computer paradigm that models this structure would be a vision system connected to a knowledge base. Imagine an Optical Music Recognition (OMR) system where the user describes the simple graphical shapes found in music using a customised drawing package, and expresses the musical knowledge necessary to correctly interpret these simple graphical shapes, using a specially designed musical language. Such a system would capture the essence of reading music, forming a versatile foundation.en
dc.identifier.otherTR-COSC 06/94en
dc.identifier.urihttp://hdl.handle.net/10092/9674
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineeringen
dc.relation.isreferencedbyNZCUen
dc.rightsCopyright David Bainbridgeen
dc.rights.urihttps://canterbury.libguides.com/rights/thesesen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080109 - Pattern Recognition and Data Miningen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080104 - Computer Visionen
dc.subject.anzsrcField of Research::19 - Studies in the Creative Arts and Writing::1904 - Performing Arts and Creative Writing::190409 - Musicology and Ethnomusicologyen
dc.titleA complete optical music recognition system : looking to the futureen
dc.typeReports
uc.collegeFaculty of Engineeringen
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