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    Optical Music Recognition : Progress Report 1 (1994)

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    Type of Content
    Reports
    UC Permalink
    http://hdl.handle.net/10092/9670
    
    Publisher
    University of Canterbury. Computer Science and Software Engineering
    Collections
    • Engineering: Reports [740]
    Authors
    Bainbridge, David
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    Abstract

    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 work: staff line detection; preparation for musical feature recognition and the recognition process itself. For each area, a program was developed that allowed the topic to me examined and investigated. Though work was carried out concurrently, they will be reported sequentially, in the order just given. The respective programs names were xstaff, xsep, and xmsr. Having the right development environment to study Optical Music Recognition (OMR) was seen as an important facet to work. Time throughout the year was devoted to this. In particular, time was invested learning C++ (an object oriented programming language), Interviews (a toolkit for X Windows), Csound (an audio playing package) and Midi, as well as extending knowledge of Emacs, Motif and the Unix operating system.

    ANZSRC Fields of Research
    08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080109 - Pattern Recognition and Data Mining
    08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080104 - Computer Vision
    19 - Studies in the Creative Arts and Writing::1904 - Performing Arts and Creative Writing::190409 - Musicology and Ethnomusicology
    Rights
    Copyright David Bainbridge
    https://canterbury.libguides.com/rights/theses

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    • A complete optical music recognition system : looking to the future 

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      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 ...
    • 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 ...
    • Page turning : score automation for musicians 

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      This report examines various aspects of the use of computers for the purpose of displaying sheet music for musicians. The main focus is on the layout of the displayed music and methods that can be used to simulate ...
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