A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system
Music genre classification has a great important role in music information retrieval systems. In this study we propose hybrid approach for Traditional Malay Music (TMM) genre classification. The proposed approach consists of three stages: feature extraction, feature selection and classification with...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68896/1/A%20hybrid%20approach%20to%20traditional%20Malay%20music%20genre%20classification%20combining%20feature%20selection%20and%20artificial%20immune%20recognition%20system.pdf |
| _version_ | 1825933616684728320 |
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| author | Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura |
| author_facet | Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura |
| author_sort | Hormozi, Shahram Golzari |
| collection | UPM |
| description | Music genre classification has a great important role in music information retrieval systems. In this study we propose hybrid approach for Traditional Malay Music (TMM) genre classification. The proposed approach consists of three stages: feature extraction, feature selection and classification with Artificial Immune Recognition System (AIRS). The new version of AIRS is used in this study. In Proposed algorithm, the resource allocation method of AIRS has been changed with a nonlinear method. Based on results of conducted experiments, the obtained classification accuracy of proposed system is 88.6 % using 10 fold cross validation. This accuracy is maximum accuracy among the classifiers used in this study. |
| first_indexed | 2024-03-06T10:00:05Z |
| format | Conference or Workshop Item |
| id | upm.eprints-68896 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:00:05Z |
| publishDate | 2008 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-688962019-06-11T02:03:19Z http://psasir.upm.edu.my/id/eprint/68896/ A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura Music genre classification has a great important role in music information retrieval systems. In this study we propose hybrid approach for Traditional Malay Music (TMM) genre classification. The proposed approach consists of three stages: feature extraction, feature selection and classification with Artificial Immune Recognition System (AIRS). The new version of AIRS is used in this study. In Proposed algorithm, the resource allocation method of AIRS has been changed with a nonlinear method. Based on results of conducted experiments, the obtained classification accuracy of proposed system is 88.6 % using 10 fold cross validation. This accuracy is maximum accuracy among the classifiers used in this study. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68896/1/A%20hybrid%20approach%20to%20traditional%20Malay%20music%20genre%20classification%20combining%20feature%20selection%20and%20artificial%20immune%20recognition%20system.pdf Hormozi, Shahram Golzari and C. Doraisamy, Shyamala and Sulaiman, Md. Nasir and Udzir, Nur Izura (2008) A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4631692 |
| spellingShingle | Hormozi, Shahram Golzari C. Doraisamy, Shyamala Sulaiman, Md. Nasir Udzir, Nur Izura A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system |
| title | A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system |
| title_full | A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system |
| title_fullStr | A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system |
| title_full_unstemmed | A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system |
| title_short | A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system |
| title_sort | hybrid approach to traditional malay music genre classification combining feature selection and artificial immune recognition system |
| url | http://psasir.upm.edu.my/id/eprint/68896/1/A%20hybrid%20approach%20to%20traditional%20Malay%20music%20genre%20classification%20combining%20feature%20selection%20and%20artificial%20immune%20recognition%20system.pdf |
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