A SIMILARITY MEASURE FOR MUSIC SIGNALS

Gonçalo Marques, Thibault Langlois

Abstract

One of the goals in the field of Music Information Retrieval is to obtain a measure of similarity between two musical recordings. Such a measure is at the core of automatic classification, query, and retrieval systems, which have become a necessity due to the ever increasing availability and size of musical databases. This paper proposes a method for calculating a similarity distance between two music signals. The method extracts a set of features from the audio recordings, models the features, and determines the distance between models. While further work is needed, preliminary results show that the proposed method has the potential to be used as a similarity measure for musical signals.

References

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Paper Citation


in Harvard Style

Marques G. and Langlois T. (2008). A SIMILARITY MEASURE FOR MUSIC SIGNALS . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 308-312. DOI: 10.5220/0001707903080312


in Bibtex Style

@conference{iceis08,
author={Gonçalo Marques and Thibault Langlois},
title={A SIMILARITY MEASURE FOR MUSIC SIGNALS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={308-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001707903080312},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A SIMILARITY MEASURE FOR MUSIC SIGNALS
SN - 978-989-8111-37-1
AU - Marques G.
AU - Langlois T.
PY - 2008
SP - 308
EP - 312
DO - 10.5220/0001707903080312