Abstrakt
Music information retrieval (MIR) is small, but fast growing discipline. It aims at retrieving relevant information from music and creating applications that improve the work with music in information systems.
A popular approach in MIR is to apply signal processing techniques to extract low-level features from a musical piece. However, in order to create helpful applications, high-level concepts, such as music harmony, need to be examined as well.
In this paper, we present a new model for understanding music harmony in computer systems. The proposed model takes the challenge of lling the gap between music theory and mathematical structures.
Inspired by the computational complexity, we then derive a new term, harmonic complexity, that can be evaluated for a musical piece, and we test it on a genre classi cation problem.