Improving Music Classification Using Harmonic Complexity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10272347" target="_blank" >RIV/00216208:11320/14:10272347 - isvavai.cz</a>
Result on the web
<a href="http://artax.karlin.mff.cuni.cz/~bajel3am/itat2014/local/13_Marsik.pdf" target="_blank" >http://artax.karlin.mff.cuni.cz/~bajel3am/itat2014/local/13_Marsik.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improving Music Classification Using Harmonic Complexity
Original language description
Publicly available multimedia systems provide users with plenty of music files offered in different genres. These systems should process the music as fast as possible while satisfying the needs of their users as well. In this context, reliable music classification represents one of the major challenges. Classification systems without deeper knowledge of music structure and composition yield to considerable errors. In some cases, music can not be classified clearly due to an overlap in genres. However, in other cases, we can clarify the classification simply by using the approach of a skilled musician. In this paper, we develop a new approach to automatic music classification inspired by the theory of neural networks, enhanced by deeper knowledge of tonal harmony. Based on a new measure derived from harmonic movements, harmonic complexity, our supporting experiments proved a significant improvement in classification accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 14th conference Information Technologies - Applications and Theory (ITAT 2014) - Workshops and Posters
ISBN
978-80-87136-19-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
13-17
Publisher name
Ústav informatiky AV ČR
Place of publication
Praha, Česká republika
Event location
Demänovská Dolina, Slovakia
Event date
Sep 25, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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