How to inference on other <midi, text> files using the opencpop phone_set.json?
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start with the binarizer and the generation of phone_set.json from meta.json; compare the custom test-set path with the Opencpop phone_set.json expected by the pretrained checkpoint. Done means custom MIDI and text files can be prepared for inference without first processing the original Opencpop meta.json.
Written by the indexing model from the issue text.
Description
Hi, thanks for the great work!
I want to inference on my own <midi, text> files. I generated the corresponding meta.json and tried to binarize it. But the binarizer can only generate phone_set.json based on the input files, which will be incompatible with the pretrained checkpoint (since it was pretrained on opencpop with opencpop phone_set.json). A solution is to preprocess the customized testset with the original opencpop meta.json to obtain the full phone_set.json (i.e., the same phoneme dict). However, it is too inconvenient to do that thing.
- Dominant language
- Python
- Stars
- 4.9k
- Forks
- 826
- PR merge metrics
- No merged PRs in 30d
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