KHOO, Sui Sin
PhD | Swinburne University of Technology | 2013 | Pages: 213 |
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Link to Thesis: http://researchbank.swinburne.edu.au/vital/access/services/Download/swin:35883/SOURCE1
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Abstract/Summary/Outline:
This thesis investigates the application of a few powerful machine learning techniques in music classification using a symbolic database of folk songs: The Essen Folksong Collection. Firstly, a meaningful and representative set of theory-based method of encoding Chinese folk songs, called the musical feature density map (MFDMap) is developed to enable efficient classification by machines...
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