Automated mixed genre classification of music
Date of Publication
2010
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Nelson Marcos
Defense Panel Member
Arnulfo Azcarraga
Jocelynn Cu
Abstract/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.
Abstract Format
html
Language
English
Format
Accession Number
TU18510
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
406, 19, 48 leaves : illustrations (some colored) ; 28 cm.
Keywords
Classification--Music
Recommended Citation
Cheng, N., Co, M., Masancay, B., & Quintana, M. (2010). Automated mixed genre classification of music. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11038
