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REFERÊNCIAS

[1] Ana Rebelo. Robust Optical Recognition of Handwritten Musical Scores Based on Domain Knowledge. Relatório técnico, 2012. URL: http://www.inescporto.pt/~arebelo/arebeloThesis.pdf.

[2] P Bellini, I Bruno, P Nesi, e Via S Marta. Assessing Optical Music Recognition Tools Evaluation methodologies for OMR application.

[3] David S. Prerau. Computer pattern recognition of standard engraved music notation. 1970.

[4] B. Couasnon e J. Camillerapp. A way to separate knowledge from program in structured document analysis: application to optical music recognition, 1995. doi:10.1109/ICDAR.1995.602099.

[5] Bertrand Couasnon, Pascal Brisset, e Igor Stephan. For Optical Music Recognition 1 2 Recognizing Music Scores. Work, (April 1995):1–20.

[6] David Bainbridge. Extensible optical music recognition. 1997.

[7] David Bainbridge e Tim Bell. A music notation construction engine for optical music recog-nition. Software - Practice and Experience, 33(2):173–200, 2003.

[8] L J Tardon, S Sammartino, I Barbancho, V Gomez, e a Oliver. Optical Music Recognition for Scores Written in White Mensural Notation - art. no. 843401. Eurasip J Image Video Process, 2009:43401, 2009. doi:10.1155/2009/843401.

[9] Florence Rossant e Isabelle Bloch. Robust and Adaptive OMR System Including Fuzzy Modeling , Fusion of Musical Rules , and Possible Error Detection. 2007, 2007. doi:10.1155/2007/81541.

[10] Noisy Slepian-wolf Problem. 1 Introduction and Motivation. páginas 1–24, 2010.

[11] Frank Kurth, M Meinard, Christian Fremerey, Yoon-ha Chang, e Michael Clausen. AUTO-MATED SYNCHRONIZATION OF SCANNED SHEET MUSIC WITH AUDIO RECOR-DINGS.

[12] Raffaele Viglianti. MusicXML : An XML Based. páginas 1–3, 2007

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