Comments (3)
That 2 is actually hardcoding. This is caused by the n_down
of the text aligner being 2, so the length of aligned phoneme representation is halved. I will fix it all the hardcoding later when I get time.
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I think your calculations are not correct. Each second is 80 frames, so 6 seconds would be 480 instead of 960, and 3 seconds would be 240 frames. Setting it to 400 to 500 corresponds to roughly 5 to 6 seconds, but you can definitely do 3 to 6 seconds too, which I personally have found no difference between them.
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That's very helpful, thank you! I'm still a little confused about why min_len and max_len are being divided by 2 here, though:
Line 95 in 3e30081
Can you help me interpret that?
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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 1
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