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    A complete optical music recognition system : looking to the future

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    Author
    Bainbridge, David
    Date
    1994
    Permanent Link
    http://hdl.handle.net/10092/9674
    Degree Grantor
    University of Canterbury
    Degree Name
    TR-COSC 06/94

    Reading 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.

    Subjects
    Field of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080109 - Pattern Recognition and Data Mining
     
    Field of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080104 - Computer Vision
     
    Field of Research::19 - Studies in the Creative Arts and Writing::1904 - Performing Arts and Creative Writing::190409 - Musicology and Ethnomusicology
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    • Engineering: Reports [695]
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    https://canterbury.libguides.com/rights/theses

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