This repo contains the core Python code used for my masters project, "Feature Extraction and Machine Learning Techniques for Musical Genre Determination," for which I will be receiving a Masters of Science in Electrical Engineering from California State University, Northridge in December 2017. My advisor at CSUN is Dr. Xiyi Hang. My paper and this code is also hosted on ScholarWorks via the CSUN library.
My project relies heavily on the FMA dataset and the accompanying paper, "FMA: A Dataset for Music Analysis", by Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, and Xavier Bresson, though my code is adaptable to other datasets. All code in this repo is released under the terms of the MIT license.