Comments (2)
The previous styletts model could not pause normally when encountering punctuation marks.
from styletts2.
I didn't do anything to specifically fix this problem. It is just learned by itself. I think a few things could have contributed to this improvement:
- Use of PL-BERT
- Use of SLM adversarial training
- Use of separate prosodic style encoder
from styletts2.
Related Issues (20)
- Multi-lingual training HOT 27
- In training Stage1 after 49th epoch getting RuntimeError: you can only change requires_grad flags of leaf variables, g_loss.requires_grad = True HOT 1
- First stage training after 49th epoch (i.e., when epoch >= TMA_epoch)
- Getting error in d_loss.backward() of first_stage training
- Can the model learn accents not supported by espeak-ng?
- Joint training is failing with Assertion error HOT 2
- In 2nd stage training AttributeError: 'AudioDiffusionConditional' object has no attribute 'module'
- Questions about Differentiable Duration Modeling HOT 1
- weird chinese pronunciation HOT 3
- Training PL-BERT on styletts2-community/multilingual-pl-bert
- Can anyone please share checkpoints that we get after we complete both stages of training HOT 4
- Model Size of fine tuned Model
- Can StyleTTS2 use phonemization from different languages to finetune or train?
- StyleTTS Python API doesn't detect devanagari script
- After training 1 epoch, train_first.py crashes: RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [1, 1, 1, 800] HOT 1
- Do we need lr scheduler? HOT 2
- ImportError: A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.1 HOT 1
- Wav File not being read
- What is the chinese phonemizer for pretrained multilinugual PL-BERT?
- Training Curves HOT 3
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