Comments (3)
Yes you can do this. There are two tokens in the model: one "prosody" token and one acoustic/speaker token. You do not have to feed the same reference to both modules. So you can feed the happy reference to get the "prosody" token and feed the reference of the speaker in neutral style to get the acoustic/speaker token.
Let me know if that works!
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This is very interesting. @enla51 Can you share a snippet of code on how you accomplished it?
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It worked thank you :)
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Related Issues (20)
- Preparing text and data HOT 2
- training single speaker different accent/language results HOT 3
- Training a Japanese model, pitch accent and IPA HOT 1
- OOD data for LibriTTS-460 training? HOT 1
- Chinese data HOT 4
- train_second.py model.decoder error (output tensor is nan) HOT 3
- Can we work on why there's the pop or hiss in some generate voice samples HOT 4
- Fine-tuning or training from scratch in a differente language? HOT 13
- Understanding Style tts training process HOT 1
- Finetune duration_proj return NaN HOT 1
- Voice Quality issue using Librispeech HOT 1
- Train in one language and synthesize in English HOT 3
- error in first train gen loss=0.0 HOT 5
- self._shortcut(x) + self._residual(x) - The size of tensor a (34) must match the size of tensor b (35) at non-singleton dimension 2 HOT 4
- Did you add data beyond that of OOD_tests.txt ?
- Wrong kernel sizes in the JDC model HOT 1
- StyleTTS2 Training for vietnamese
- weird pulse at the end of the model HOT 3
- Low GPU Utilization during training HOT 10
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