An improved music representation method by using harmonic-based chord decision algorithm

We develop an algorithm for chord decision for monophonic music, and it can be applied to music indexing and automatic composition systems. The basic ideas of the proposed algorithm can be divided into two phases: the local recognition phase and the global decision phase. The algorithm analyzes the music and assigns a set of chord candidates in the local recognition phase, while deciding the best appropriate chord according to the chord progression rules in the global decision phase. In order to improve the perceptual accuracy, we consider the beat of corresponding notes in a measure and eliminate the effect of the passing notes and ornaments.