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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2010
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oai:animorepository.dlsu.edu.ph:etd_bachelors-116832021-09-18T01:08:42Z Automated mixed genre classification of music Cheng, Nelson Co, Merrick Masancay, Bryan Quintana, Marco 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. 2010-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/11038 Bachelor's Theses English Animo Repository Classification--Music Computer Sciences |
| institution |
De La Salle University |
| building |
De La Salle University Library |
| continent |
Asia |
| country |
Philippines Philippines |
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De La Salle University Library |
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DLSU Institutional Repository |
| language |
English |
| topic |
Classification--Music Computer Sciences |
| spellingShingle |
Classification--Music Computer Sciences Cheng, Nelson Co, Merrick Masancay, Bryan Quintana, Marco Automated mixed genre classification of music |
| description |
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. |
| format |
text |
| author |
Cheng, Nelson Co, Merrick Masancay, Bryan Quintana, Marco |
| author_facet |
Cheng, Nelson Co, Merrick Masancay, Bryan Quintana, Marco |
| author_sort |
Cheng, Nelson |
| title |
Automated mixed genre classification of music |
| title_short |
Automated mixed genre classification of music |
| title_full |
Automated mixed genre classification of music |
| title_fullStr |
Automated mixed genre classification of music |
| title_full_unstemmed |
Automated mixed genre classification of music |
| title_sort |
automated mixed genre classification of music |
| publisher |
Animo Repository |
| publishDate |
2010 |
| url |
https://animorepository.dlsu.edu.ph/etd_bachelors/11038 |
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1712577422160822272 |