Symbolic Music Classification Based on Multiple Sequential Patterns

Abstract

This paper presents a study of associative music classification with sequential patterns. The analysis focuses on class prediction from multiple patterns, considering aggregation of pattern-level measures and evaluation of pattern-set measures. The study complements recent work in music classification which has employed unsupervised pattern discovery followed by instance-based classification.