Aucouturier, J.-J. and Sandler, M. Using Long-term structure to Retrieve Music : Representation and Matching. Proceedings of the 2nd International Symposium on Music Information Retrieval, October 2001 University of Bloomington, Indiana, USA

Sony CSL authors: Jean-Julien Aucouturier

Abstract

We present a measure of the similarity of the long-term structure of musical pieces. The system deals with raw polyphonic data. Through unsupervised learning, we generate an abstract representation of music - the “texture score”. This “texture score” can be matched to other similar scores using a generalized edit distance, in order to assess structural similarity. We notably apply this algorithm to the retrieval of different interpretations of the same song within a music database.

Keywords: music, structure, similarity

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BibTeX entry

@INPROCEEDINGS { aucouturier:01b, AUTHOR="Aucouturier, J.-J. and Sandler, M.", BOOKTITLE="Proceedings of the 2nd International Symposium on Music Information Retrieval", MONTH="October", ORGANIZATION="University of Bloomington, Indiana, USA", TITLE="Using Long-term structure to Retrieve Music : Representation and Matching", YEAR="2001", }