Your certificate is now private
Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE FALL 2023 DATA SCIENCE BOOT CAMP
Roman Holowinsky, PhD
DECEMBER 07, 2023
GW Music Genre Classification
Aziz Burak Guelen, Afsin Ozdemir, Sacha L'Heveder, Jannatul Chhoa, Zachary Pollock, Ming Zhang
Music is, in essence, a time series. We plan to develop an explainable model for classifying different music genres by using tools from optimal transport, namely, a variation of the Gromov-Wasserstein distance as described in the paper (Scalable Gromov–Wasserstein Based Comparison of Biological Time Series) https://doi.org/10.1007/s11538-023-01175-y.
Our goal is to make use of this GW distance in order to classify different music genres. We will also implement the algorithm from the paper.