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Certificate of Completion

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THIS ACKNOWLEDGES THAT

HAS COMPLETED THE FALL 2023 DATA SCIENCE BOOT CAMP

Sacha L'Heveder

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Roman Holowinsky, PhD

DECEMBER 07, 2023

DIRECTOR

DATE

TEAM

GW Music Genre Classification

Aziz Burak Guelen, Afsin Ozdemir, Sacha L'Heveder, Jannatul Chhoa, Zachary Pollock, Ming Zhang

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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.

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