Music Genre Classification Base On Clustered Melody Patterns
碩士 === 國立臺灣科技大學 === 資訊管理系 === 100 === This paper proposes a scheme of using melodic patterns to classify the musical genres. Three types of statistical classification approaches are compared, correlation-based classifier, artificial neural network(ANN), K-nearest neighbor classifier. In the baseline...
Main Authors: | Tai-cheng chen, 陳泰丞 |
---|---|
Other Authors: | Bor-shen Lin |
Format: | Others |
Language: | zh-TW |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/rg47e4 |
Similar Items
-
Chapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition
by: Iñesta, José M.
Published: (2008) -
Chapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition
Published: (2008) -
The percussion robot with music learning and melody recognition
by: Yi-Ting Chen, et al.
Published: (2009) -
Melody Style Classification And Automatic Accompaniment Using Melody And Chord Features
by: Pei-Chih Ko, et al.
Published: (2009) -
Music Genre Classification Based on Multimodal PLSA
by: Lin, Xiang Lun, et al.
Published: (2012)