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Authors: Gonçalo Marques 1 and Thibault Langlois 2

Affiliations: 1 Instituto Superior de Engenharia de Lisboa, Portugal ; 2 Universidade de Lisboa, Faculdade de Ciências, Portugal

ISBN: 978-989-8111-37-1

ISSN: 2184-4992

Keyword(s): Music Information Retrieval, Music Similarity Measure, Audio Signal Processing, Feature Extraction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

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.

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Paper citation in several formats:
Marques, G. and Langlois, T. (2008). A SIMILARITY MEASURE FOR MUSIC SIGNALS.In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS, ISBN 978-989-8111-37-1, pages 308-312. DOI: 10.5220/0001707903080312

@conference{iceis08,
author={Gon\c{C}alo Marques and Thibault Langlois},
title={A SIMILARITY MEASURE FOR MUSIC SIGNALS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,},
year={2008},
pages={308-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001707903080312},
isbn={978-989-8111-37-1},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: 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

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