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I created a musdb-like loader: https://github.com/OnAir-Music/onair-py |
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If you've used the current versions of the OnAir dataset, you'll notice the stems are in an inconsistent raw format (that we receive from the artists).
For example, the stems for the track "Ronin" (https://open.spotify.com/track/7jULsqywM6aWSZfaB7BAtY?si=a84eb0880f644267) are:
Should I continue exposing the raw stems? Will researchers be happy to listen to each track and decide for themselves which waveform they want to use in different parts of their algorithm or neural network?
Or should we follow the example of MUSDB18-HQ with 4 stems:
This is open for the community to discuss.
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