OPTICAL MUSIC RECOGNITION BASED ON A FUZZY MODELING OF SYMBOL CLASSES AND MUSIC WRITING RULES

Florence Rossant (1) , Isabelle Bloch (2)

1 ISEP - Institut Supérieur d'Electronique de Paris
2 Lab-E3D - Laboratoire d'épistémologie et de didactiques des disciplines de Bordeaux

We propose an OMR method based on fuzzy modeling of the information extracted from the scanned score and of musical rules. The aim is to disambiguate the recognition hypotheses output by the individual symbol analysis process. Fuzzy modeling allows to account for imprecision in symbol detection, for typewriting variations, and for flexibility of rules. Tests conducted on a hundred of music sheets result in a global recognition rate of 98.55%, and show good performances compared to SmartScore.

Domaines: Traitement du signal et de l'image [eess.SP]

Florence Rossant, Isabelle Bloch. OPTICAL MUSIC RECOGNITION BASED ON A FUZZY MODELING OF SYMBOL CLASSES AND MUSIC WRITING RULES. ICIP, Sep 2005, Genoa, Italy. ⟨10.1109/ICIP.2005.1530111⟩. ⟨hal-02882947⟩