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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)

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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