Automated mixed genre classification of music
In this paper, the proponents address the problems of manual classification, extraction time and music with the mixed genre. The proponents aim to create a system that will automatically classify music in pure genres such as blues, classical, hip-hop, jazz, pop, rock and fusion genres such as blues...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2010
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/11038 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | In this paper, the proponents address the problems of manual classification, extraction time and music with the mixed genre. The proponents aim to create a system that will automatically classify music in pure genres such as blues, classical, hip-hop, jazz, pop, rock and fusion genres such as blues rock, pop rock, country rock, and alternative rock. The proponent system will use the three main musical features of genre classification which are timbre, rhythm and pitch. The extracted output from the features serves as input for the classifier that will then be used for mixed genre classification. |
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