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Authors: Johannes Fliege ; Frank Seifert and André Richter

Affiliation: Chemnitz University of Technology, Germany

Keyword(s): Rhythm Classification, Music Information Retrieval, Knowledge Modelling, Pattern Extraction.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Data Engineering ; Feature Selection and Extraction ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: We present a pattern-based approach for the rhythm classification task that combines an Auto-correlation function (ACF) and Discrete Fourier transform (DFT). Rhythm hypotheses are first extracted from symbolic input data, e.g. MIDI, by the ACF. These hypotheses are analysed by the use of DFT to remove duplicates before the classification process. The classification of rhythms is performed using ACF in combination with rhythm patterns contained in a knowledge base. We evaluate this method using pre-labelled input data and discuss our results. We show that a knowledge-based approach is reasonable to address the problem of rhythm classification for symbolic data.

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Paper citation in several formats:
Fliege, J.; Seifert, F. and Richter, A. (2014). Pattern-based Classification of Rhythms. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 747-752. DOI: 10.5220/0004919507470752

@conference{icpram14,
author={Johannes Fliege. and Frank Seifert. and André Richter.},
title={Pattern-based Classification of Rhythms},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={747-752},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004919507470752},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Pattern-based Classification of Rhythms
SN - 978-989-758-018-5
IS - 2184-4313
AU - Fliege, J.
AU - Seifert, F.
AU - Richter, A.
PY - 2014
SP - 747
EP - 752
DO - 10.5220/0004919507470752
PB - SciTePress

- Science and Technology Publications, Lda.
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