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    Optical Music Recognition: Feature Identification (1995)

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    http://hdl.handle.net/10092/3214
    
    Publisher
    University of Canterbury. Computer Science and Software Engineering
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    • Engineering: Reports [736]
    Authors
    Bainbridge, D.
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    Abstract

    Although it has been less than a year since the last progress report, work has reached a natural ‘break-point’ offering an opportunity to describe what has been accomplished as well as gathering thoughts on the future. For a broader picture of how the implemented work fits into the general design, the reader is directed towards [Bai94a], which describes a complete Optical Music Recognition system. Since it is possible for a piece of music to include arbitrary graphics [1], it is impossible to design an OMR system that can process all music. The key idea, therefore, expressed in [Bai94a] is to provide a versatile foundation that can be built upon by individual users to generate particular instances of the system capable of recognising a particular class of music notation. Such a philosophy is reminiscent of Computer Aided Design (CAD). Similar to this area, the user should be encouraged to utilise sound software engineering principles. The proposed system could be thought of as a Computer Aided Music Recognition (CAMR). The main body of this report describes the implemented work. The topics: staff separation; primitive identification; primitive data tabulation; drawing package development; prototype [2] musical feature classifier extensions; and miscellaneous items are discussed in turn. The report concludes by reflecting on the completed work as well as contemplating how the remaining problems may be solved.

    Citation
    Bainbridge, D. (1995) Optical Music Recognition: Feature Identification..
    This citation is automatically generated and may be unreliable. Use as a guide only.
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    https://hdl.handle.net/10092/17651

    Related items

    Showing items related by title, author, creator and subject.

    • Optical music recognition : feature identification 

      Bainbridge, D. (University of Canterbury, 1995)
      Although it has been less than a year since the last progress report, work has reached a natural 'breakpoint' offering an opportunity to describe what has been accomplished as well as gathering thoughts on the future. For ...
    • Optical Music Recognition : Progress Report 1 

      Bainbridge, David (University of Canterbury. Computer Science and Software Engineering, 1994)
      The purpose of writing this report is to record and comment on the work done over the last year. The report will also summarise my main insights into the problem and outline future work. There were three main areas of ...
    • A complete optical music recognition system : looking to the future 

      Bainbridge, David (University of Canterbury. Computer Science and Software Engineering, 1994)
      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 ...
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