Testing the performance of the models on standard datasets like MusDB18 and/or WSJ0-2mix

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Given the performance of our model on the macaque task, I’m very curious to see how it might do in baseline tests using datasets commonly used in the literature. This might be relevant since the lightweight nature of the UNet model might make it an attractive solution (compared to existing models) for animal recordings sampled at high sampling rates. With this in mind, we already have MusDB18 at our disposal, so this could be a good project as we decide which animal set to focus on.