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Using musdb for my own dataset

See original GitHub issue

Hi, I have trained a Neural Network using musdb. Now I want to do transfer learning on some more data that I have collected separately. Is it possible to use musdb API on my own dataset if I keep all my tracks in a similar fashion as musdb database?

Please help. Thanks

Issue Analytics

State:
Created 4 years ago
Reactions:1
Comments:6 (3 by maintainers)

Top GitHub Comments

2reactions

faroitcommented, Jul 12, 2019

Just additionally pass the is_wav=True flag. See documentation here https://sigsep.github.io/sigsep-mus-db/#musdb.DB

1reaction

faroitcommented, Jul 12, 2019

see that musdb needs STEMS file format (.stems.mp4) but once we create a musdb.DB() it separates all the stems into different files

no, it just parses the stems and reads from them. There is conversion tool to convert to separated wav files if you want this. So you can just create a folder called your_dataset/train/track1 and musdb will find it it, if you use the --root your_dataset.

I would highly recommend to use wav or flac for training a DNN, since the STEMS is quite slow to decode.

In any case, if you use pytorch you really want to wait for our release 😃