MoonInTheRiver / MoonInTheRiver/DiffSinger
custom training data split
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Description
hello. Thanks for sharing your great research!
I'm going to do an experiment to see the effect of data size on diffsinger model training.
So, I want to train using only a part of the opencpop data, but I am having a hard time figuring out how to use only the specified segment file for training.
Can I just make the desired data exist in data/raw and then run binarize.py?
It would be a great help if you could give me an answer.
thank you!
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reading binarize.py and the data/raw layout, then trace how the specified Opencpop segment file is selected for training. Done means establishing whether a partial dataset can be used as described and providing a reproducible workflow or clearly identifying the missing support.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100