Department of Electronics and Telecomunication,
Applied Physics Division
Centro de Investigación Científica y de Educación
Superior de Ensenada
Km 107 Carretera
Tijuana/Ensenada, Ensenada, B. C., Mexico 22860
The paper presents problems related to automated recognition of printed music notation. Music notation recognition is a challenging problem in both fields: partem recognition and knowledge representation. Music notation symbols, though well characterized by their features, are arranged in elaborated way in real music notation, which makes recognition task very difficult and still open for new ideas. On the other hand, the aim of the system, i.e. application of acquired printed music into further processing requires special representation of music data. Due to complexity of music nature and music notation, music representation is one of the key issue in music notation recognition and music processing. The problems of pattern recognition and knowledge representation in context of music processing are discussed in this paper. MDISCAN, the computer system for music notation recognition and music processing, is presented.
Keywords: music notation recognition, knowlege representation, music representation, MIDI format.