Classification of Music Genres Based on Music Separation into Harmonic and Drum Components . Klasyfikacja gatunków muzycznych wykorzystująca separację instrumentów muzycznych
Abstract
This article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from harmonic and/or drum music content. The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector Machine (SVM) classifier and co-training method adapted for the standard SVM are involved in genre classification. Also, some additional experiments are performed using reduced feature vectors, which improved the overall result. Finally, results and conclusions drawn from the study are presented, and suggestions for further work are outlined.
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Authors (3)
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.2478/aoa-2014-0068
- License
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
Archives of Acoustics
no. 39,
pages 629 - 638,
ISSN: 0137-5075 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Rosner A., Schuller B., Kostek B.: Classification of Music Genres Based on Music Separation into Harmonic and Drum Components . Klasyfikacja gatunków muzycznych wykorzystująca separację instrumentów muzycznych// Archives of Acoustics. -Vol. 39, iss. 4 (2014), s.629-638
- DOI:
- Digital Object Identifier (open in new tab) 10.2478/aoa-2014-0068
- Verified by:
- Gdańsk University of Technology
Referenced datasets
- dataset SYNAT_MUSIC_GENRE_FV_173
- dataset SYNAT Music Genre Parameters PCA 19
- dataset SYNAT_PCA_48
- dataset SYNAT_PCA_11
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