Comments (3)
Hello, you are right. This repo contains only CSS10 and my little Common Voice subset. If you want to add your own data, you need to modify the file with meta-data and provide your audios/spectrograms. Have you seen #7 ? I think you should be ok with taking CSS10 + CV, add your custom data (including japanese CSS10) to it and retrain the model from scratch.
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
from multilingual_text_to_speech.
Thank you. I have read #7 . The result pasted on #7 (comment) is great.
Now I have roughly known how to start my own training. There may be other questions. Please let me submit them in other new issues.
Thanks again.
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Related Issues (20)
- Adding support for windows sapi5 or android HOT 4
- Voice cloning attempts HOT 1
- Model is much slower on CPU HOT 6
- No softmax layer in the classifier? HOT 1
- Params.py issue
- torch version issue HOT 4
- can't run train.py HOT 1
- data HOT 3
- When I try to train it, I got the following error: HOT 6
- How "Pronunciation control" can be implemented? HOT 1
- batchnorm1D on padded values results in large activation scaling HOT 3
- Project dependencies may have API risk issues HOT 2
- about ยต and variances ฯ HOT 5
- Dataset with various sample rates and frequency bins HOT 1
- preprocess Error HOT 1
- Can we get a cloned voicie in Real Time ? HOT 1
- is the pretrained model support speech generation in Hebrew? HOT 1
- CUDA Out of Memory error after a couple of epochs HOT 1
- Same here.
- why do we need multiple languages & multiple speakers? HOT 2
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