Optical Music Recognition : Progress Report 1
Degree GrantorUniversity of Canterbury
Degree NameTR-COSC 05/94
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.
SubjectsField of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080109 - Pattern Recognition and Data Mining
- Engineering: Reports