A novel music similarity measure system based on instrumentation analysis

Authors:
Soo-Chang Pei;Nien-Teh Hsu
Affiliations:
Graduate Institute of Communication Engineering, National Taiwan University, Taiwan, R.O.C;Graduate Institute of Communication Engineering, National Taiwan University, Taiwan, R.O.C
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

A music similarity measure system based on the instrumentation information is proposed in this paper. We combine our previous instrumentation analysis algorithm with a newly designed similarity measure system, which aims at comparing songs solely on their instrumentation content. Several mid-level features are designed and integrated along with the existing low-level feature MFCCs. The weighted distance is then applied to rank the similarity of songs in pair inside the music database. We evaluate its performance by ten-fold cross validation on a Western classical music database. The objective test shows the incorporation of new mid-level features can increase the correctness of the composer classification task by approximately 10%.