Abstract
An automatic music score-reading system will facilitate applications including computer-based editing of new editions, production of databases for musicological research, and creation of braille or large-format scores for the blind or partially-sighted. The work described here deals specifically with initial processing of images containing early seventeenth century madrigals notated in white mensural notation. The problems of segmentation involved in isolating the musical symbols from the word-underlay and decorative graphics are compounded by the poor quality of the originals which present a significant challenge to any recognition system. The solution described takes advantage of structural decomposition techniques based on a novel transformation of the line adjacency graph which have been developed during work on a score-reading system for conventional music notation.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Carter NP, Bacon RA, Messenger T (1988) Acquisition, representation and reconstruction of printed music by computer: A review. Computers and the Humanities 22(2):27–46
Carter NP (1989) Automatic recognition of printed music in the context of electronic publishing. PhD thesis, University of Surrey
Carter NP, Bacon RA (1992) Automatic recognition of printed music. In: Structured document image analysis. Baird HS, Bunke H, Yamamoto K (eds) Springer-Verlag, Heidelberg
Clarke AT (1988) Inexpensive optical character recognition of music notation: A new alternative for publishers. Proceedings of the Computers in Music Conference, Lancaster
Fujinaga I (1988) Optical music recognition using projections. MA dissertation, McGill University, Montreal
Hewlett WB, Selfridge-Field E (1991) Computing in musicology: A directory of research. Center for Computer Assisted Research in the Humanities, Menlo Park, CA
Katayose H, Inokuchi S (1989) The Kansei music system. Computer Music Journal 13(4):72–77
Matsushima T et al. (1985) Automated recognition system for musical score. Bulletin of Science and Engineering Research Laboratory, Waseda University 112:25–52
McGee W, Merkley P (1991) The optical scanning of medieval music. Computers and the Humanities 25:47–53
Prerau DS (1970) Computer pattern recognition of standard engraved music notation. PhD dissertation, Massachusetts Institute of Technology
Pruslin DH (1967) Automatic recognition of sheet music. ScD dissertation, Massachusetts Institute of Technology
Author information
Authors and Affiliations
Additional information
This research was undertaken with support from Oxford University Press.
Rights and permissions
About this article
Cite this article
Carter, N.P. Segmentation and preliminary recognition of madrigals notated in white mensural notation. Machine Vis. Apps. 5, 223–229 (1992). https://doi.org/10.1007/BF02627000
Issue Date:
DOI: https://doi.org/10.1007/BF02627000