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...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Queen Mary, University of London
2005
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/40719/1/40719.pdf |
| _version_ | 1825949654080028672 |
|---|---|
| author | Mohd Norowi, Noris C. Doraisamy, Shyamala O. K. Rahmat, Rahmita Wirza |
| author_facet | Mohd Norowi, Noris C. Doraisamy, Shyamala O. K. Rahmat, Rahmita Wirza |
| author_sort | Mohd Norowi, Noris |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T08:47:53Z |
| format | Conference or Workshop Item |
| id | upm.eprints-40719 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:47:53Z |
| publishDate | 2005 |
| publisher | Queen Mary, University of London |
| record_format | dspace |
| spelling | upm.eprints-407192018-10-24T01:15:12Z 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 |
| spellingShingle | Mohd Norowi, Noris C. Doraisamy, Shyamala O. K. Rahmat, Rahmita Wirza Factors affecting automatic genre classification: an investigation incorporating non-western musical forms |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/40719/1/40719.pdf |
| work_keys_str_mv | AT mohdnorowinoris factorsaffectingautomaticgenreclassificationaninvestigationincorporatingnonwesternmusicalforms AT cdoraisamyshyamala factorsaffectingautomaticgenreclassificationaninvestigationincorporatingnonwesternmusicalforms AT okrahmatrahmitawirza factorsaffectingautomaticgenreclassificationaninvestigationincorporatingnonwesternmusicalforms |