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...
Saved in:
Main Authors: | Mohd Norowi, Noris, C. Doraisamy, Shyamala, O. K. Rahmat, Rahmita Wirza |
---|---|
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 http://psasir.upm.edu.my/id/eprint/40719/ http://ismir2005.ismir.net/proceedings/1111.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Traditional Malay musical genre classification: machine versus human / Noris Mohd Norowi ... [et al.]
by: Mohd Norowi, Noris, et al.
Published: (2015) -
A study on feature selection and classification techniques for automatic genre classification of traditional Malay music
by: Doraisamy, Shyamala, et al.
Published: (2008) -
Improvement of Automatic Genre Classification System for Traditional Malaysian Music Using Beat Features
by: Mohd. Norowi, Noris
Published: (2007) -
Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification
by: Hormozi, Shahram Golzari, et al.
Published: (2008) -
A hybrid approach to traditional Malay music genre classification: combining feature selection and artificial immune recognition system
by: Hormozi, Shahram Golzari, et al.
Published: (2008)