Abstract
Music recognition bears similarities and differences to OCR. In this paper we identify some of the problems peculiar to musical scores, and propose an approach which succeeds in a wide range of non-trivial cases. The composer customarily proceeds by writing notes, then stems, beams, ties and slurs - we have inverted this approach by segmenting and then subsegmenting scores to recapture the component parts of symbols. In this paper, we concentrate on the strategy of recognizing sub-segmented primitives, and the reassembly process which reconstructs low level graphical primitives back to musical symbols. The sub-segmentation process proves to be worthwhile, since many primitives complement each other and high level musical theory can be employed to enhance the recognition process.
Original language | English |
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Pages (from-to) | 39-46 |
Number of pages | 8 |
Journal | Image and Vision Computing |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - Feb 1996 |
Externally published | Yes |
Keywords
- Document analysis
- OCR
- Score recognition