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music-information-retrieval
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The current implementation of NESMusicDatabase does not handle the training-validation-test splits provided in the original dataset. To avoid changing the base Dataset class too much, we could add a subset method and achieve something like the following.
nes = muspy.NESMusicDatabase("data/nes/")
training_set = nes.subset("training") # also a Dataset object
validation_set =-
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frames[-1] = np.append(frames[-1], np.array([0]*(frame_length - len(frames[0]))))
TypeError: can't multiply sequence by non-int of type 'float'
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Is your feature request related to a problem? Please describe.
Using the CLI to output parameters, those audio features who are multidimensional like
amplitudeSpectrumandmfccwill not get corresponding label names in the first row of the generated csv-file. This makes it complicated to import using csv-importers like pandas in Python.It's also unclear which bin each column represents.