Please use this identifier to cite or link to this item:
Title: A method for music symbols extraction based on musical rules
Authors: Rebelo, Ana
Paszkiewicz, Filipe
Guedes, Carlos
Marcal, Andre R. S.
Cardoso, Jaime S.
Keywords: Optical Music Recognition (OMR)
Music symbol recognition
Metric learning
Issue Date: 2011
Citation: Rebelo, A., Paszkiewicz, F., Guedes, C., Marcal, A. R. S., & Cardoso, J. S. (2011). A method for music symbols extraction based on musical rules. In Proceedings of BRIDGES: Mathematical Connections in Art, Music, and Science (BRIDGES 2011), Coimbra, Portugal, 2011 (pp. 81-88). Disponível no Repositório UPT,
Abstract: Optical Music Recognition (OMR) systems are an important tool for the automatic recognition of digitized music scores. However, handwritten musical scores are especially problematic for an automatic recognition. They have irregularities that go from heterogeneous illumination to variability in symbols shape and complexity inherent to music structure. These issues cause serious difficulties when one wants a robust OMR system facilitating search, retrieval and analysis operations. To transform the paper-based music scores and manuscripts into a machine-readable symbolic format several consistent algorithms are needed. In this paper a method for music symbols extraction in handwritten and printed scores is presented. This technique tries to incorporate musical rules as prior knowledge in the segmentation process in order to overcome the state of the art results.
Appears in Collections:REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings

Files in This Item:
File Description SizeFormat 
2011ARebeloBRIDGES.pdf1.76 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.