A harmonization model with partial fuzzy knowledge

The paper presents a knowledge-driven harmonization model for tonal music partially using fuzzy knowledge. Automatic harmonization could be seen as a complicated classification problem: an algorithm processes a music notation document and generates class labels (harmonic functions). The proposed model could be seen as an Expert System, based largely on the music theory with partial fuzzy knowledge. It emphasizes universality - a possibility of obtaining varied but controllable harmonies. It is directly tunable by changing the internal parameters of harmonization mechanisms, as well as an importance weight corresponding to each mechanism. The proposed harmonization model allows also for relatively easy interpretation of internal knowledge.