Symbolic Music Genre Classification Based on Note Pitch and Duration

This paper presents a music genre classification system that relies on note pitch and duration features, derived from their respective histograms. Feature histograms provide a simple but yet effective classifier for the purposes of genre classification in intra-classical genres such as sonatas, fugues, mazurkas, etc. Detailed experimental results illustrate the significant performance gains due to the proposed features, compared to existing baseline features.