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Factors affecting automatic genre classification: an investigation incorporating non-western musical forms

The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perform automated genre classification in general include feature extraction and classification. In this study, MARSYAS was use...

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Main Authors: Mohd Norowi, Noris, C. Doraisamy, Shyamala, O. K. Rahmat, Rahmita Wirza
Formáid: Conference or Workshop Item
Teanga:English
Foilsithe: Queen Mary, University of London 2005
Rochtain Ar Líne:http://psasir.upm.edu.my/id/eprint/40719/1/40719.pdf
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id oai:psasir.upm.edu.my:40719
record_format eprints
spelling oai:psasir.upm.edu.my:40719 http://psasir.upm.edu.my/id/eprint/40719/ Factors affecting automatic genre classification: an investigation incorporating non-western musical forms Mohd Norowi, Noris C. Doraisamy, Shyamala O. K. Rahmat, Rahmita Wirza The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perform automated genre classification in general include feature extraction and classification. In this study, MARSYAS was used to extract audio features and the suite of tools available in WEKA was used for the classification. This study investigates the factors affecting automated genre classification. As for the dataset, most studies in this area work with western genres and traditional Malay music is incorporated in this study. Eight genres were introduced; Dikir Barat, Etnik Sabah, Inang, Joget, Keroncong, Tumbuk Kalang, Wayang Kulit, and Zapin. A total of 417 tracks from various Audio Compact Discs were collected and used as the dataset. Results show that various factors such as the musical features extracted, classifiers employed, the size of the dataset, excerpt length, excerpt location and test set parameters improve classification results. Queen Mary, University of London 2005 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40719/1/40719.pdf Mohd Norowi, Noris and C. Doraisamy, Shyamala and O. K. Rahmat, Rahmita Wirza (2005) Factors affecting automatic genre classification: an investigation incorporating non-western musical forms. In: 6th International Conference on Music Information Retrieval (ISMIR 2005), 11-15 Sept. 2005, Queen Mary, University of London, United Kingdom. (pp. 13-20). http://ismir2005.ismir.net/proceedings/1111.pdf
institution UPM IR
collection UPM IR
language English
description The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perform automated genre classification in general include feature extraction and classification. In this study, MARSYAS was used to extract audio features and the suite of tools available in WEKA was used for the classification. This study investigates the factors affecting automated genre classification. As for the dataset, most studies in this area work with western genres and traditional Malay music is incorporated in this study. Eight genres were introduced; Dikir Barat, Etnik Sabah, Inang, Joget, Keroncong, Tumbuk Kalang, Wayang Kulit, and Zapin. A total of 417 tracks from various Audio Compact Discs were collected and used as the dataset. Results show that various factors such as the musical features extracted, classifiers employed, the size of the dataset, excerpt length, excerpt location and test set parameters improve classification results.
format Conference or Workshop Item
author Mohd Norowi, Noris
C. Doraisamy, Shyamala
O. K. Rahmat, Rahmita Wirza
spellingShingle Mohd Norowi, Noris
C. Doraisamy, Shyamala
O. K. Rahmat, Rahmita Wirza
Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
author_facet Mohd Norowi, Noris
C. Doraisamy, Shyamala
O. K. Rahmat, Rahmita Wirza
author_sort Mohd Norowi, Noris
title Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
title_short Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
title_full Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
title_fullStr Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
title_full_unstemmed Factors affecting automatic genre classification: an investigation incorporating non-western musical forms
title_sort factors affecting automatic genre classification: an investigation incorporating non-western musical forms
publisher Queen Mary, University of London
publishDate 2005
url http://psasir.upm.edu.my/id/eprint/40719/1/40719.pdf
_version_ 1819296290023931904
score 13.4562235

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