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Proceedings Paper

Recognizing musical text
Author(s): Alastair T. Clarke; B. Malcom Brown; M. P. Thorne
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Paper Abstract

This paper reports on some recent developments in a software product that recognizes printed music notation. There are a number of computer systems available which assist in the task of printing music; however the full potential of these systems cannot be realized until the musical text has been entered into the computer. It is this problem that we address in this paper. The software we describe, which uses computationally inexpensive methods, is designed to analyze a music score, previously read by a flat bed scanner, and to extract the musical information that it contains. The paper discusses the methods used to recognize the musical text: these involve sampling the image at strategic points and using this information to estimate the musical symbol. It then discusses some hard problems that have been encountered during the course of the research; for example the recognition of chords and note clusters. It also reports on the progress that has been made in solving these problems and concludes with a discussion of work that needs to be undertaken over the next five years in order to transform this research prototype into a commercial product.

Paper Details

Date Published: 6 August 1993
PDF: 12 pages
Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150288
Show Author Affiliations
Alastair T. Clarke, Univ. of Wales College Cardiff (United Kingdom)
B. Malcom Brown, Univ. of Wales College Cardiff (United Kingdom)
M. P. Thorne, Univ. of Sunderland (United Kingdom)

Published in SPIE Proceedings Vol. 2064:
Machine Vision Applications, Architectures, and Systems Integration II
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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