Automatic Music Genre Classification
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Wits Institutional Repository on DSPACE AUTOMATICMUSICGENRECLASSIFICATION ritesh ajoodha A dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfillment of the requirements for the degree of Master of Science. Supervised by Dr. Benjamin Rosman and Mr. Richard Klein Master of Science School of Computer Science The University of the Witwatersrand November 2014 Ritesh Ajoodha: Automatic Music Genre Classification, Master of Science. A dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfillment of the requirements for the Degree Master of Science in Computer Science. supervisors: Dr. Benjamin Rosman Mr. Richard Klein location: Johannesburg, South Africa "Music is the one incorporeal entrance into the higher world of knowledge which comprehends mankind but which mankind cannot comprehend" — Ludwig van Beethoven[ 1712 - 1773] To my parents and brothers accomplished, unbeatable, visionary RELATEDPAPERS Some ideas and figures have appeared previously in the following papers: Ritesh Ajoodha, Richard Klein, and Marija Jakovljevic. Using Statistical Models and Evolutionary Algorithms in Algorithmic Music Composition. In Khosrow-Pour Mehdi, editor, The Encyclopedia of Information Science and Technology. IGI Global, Hershey, Pennsylvania, United States, 3rd edition, 2014. Ritesh Ajoodha. Algorithmic Composition: Using Context-free Grammars, Gaussian Distribution and Evolutionary Algorithms in Algorithmic Music Composition. Hon- ours Research Report. School of Computer Science, University of the Witwater- srand, Johannesburg, 2013. v "...You see, my dear friend, I am made up of contradictions, and I have reached a very mature age without resting upon anything positive, without having calmed my restless spirit either by religion or philosophy.
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