Semantic-based Similiarity of Music

Michael Rentzsch; Frank Seifert

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Paper

Semantic-based Similiarity of Music

In 6th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 175-180, 2006 , Paphos, Cyprus

Authors: Michael Rentzsch and Frank Seifert

Affiliation: Chemnitz University of Technology, Germany

Abstract: Existing approaches to music identification such as audio fingerprinting are generally data-driven and based on statistical information. They require a particular pattern for each individual instance of the same song. Hence, these approaches are not capable of dealing with the vast amount of music that is composed via methods of improvisation and variation. Futhermore, they are unable to measure the similarity of two pieces of music. This paper presents a different, semantic-based view on the identification and structuring of symbolic music patterns. This new method will allow us to detect different instances of the same song and acquire their degree of similarity.

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Paper citation in several formats:

Rentzsch, M. and Seifert, F. (2006). Semantic-based Similiarity of Music. In 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS; ISBN 978-972-8865-55-9, SciTePress, pages 175-180. DOI: 10.5220/0002485101750180

@conference{pris06,
author={Michael Rentzsch. and Frank Seifert.},
title={Semantic-based Similiarity of Music},
booktitle={6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS},
year={2006},
pages={175-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002485101750180},
isbn={978-972-8865-55-9},
}

TY - CONF

JO - 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS
TI - Semantic-based Similiarity of Music
SN - 978-972-8865-55-9
AU - Rentzsch, M.
AU - Seifert, F.
PY - 2006
SP - 175
EP - 180
DO - 10.5220/0002485101750180
PB - SciTePress