Music Classification By Parsing Main Melody

Abstract

Music classification is an important problem in multimedia databases due to its widespread applications. In this paper we investigated the extraction of main melody in a music based on music theory and what music features are most suitable to represent a melody and then use decision tree to classify music. We tested various kinds of music like classic, folk, kid and pop music collected from finalemusic [5] and discovered the interesting diversities between different music styles, such as the tempo, grace, slur, etc. Experimental results show that the classification accuracy was achieved as good as 90% by the most suitable features for 2-way classification.