XTTS v2.0 #3137
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XTTS v2.0 #3137
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Edresson
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@Edresson Currently cloning does not work correctly. The voice is different than it's supposed to be. Also, this model can take multiple references, we need a way to allow that. |
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I figured one issue. I was forgetting to pass mel stats. |
akx
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Nov 6, 2023
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| # print(" > Input text: ", text) | ||
| # print(" > Input text preprocessed: ",self.tokenizer.preprocess_text(text, language)) | ||
| # print(" > Input tokens: ", text_tokens) | ||
| # print(" > Decoded text: ", self.tokenizer.decode(text_tokens[0].cpu().numpy())) |
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| run_description=""" | ||
| GPT XTTS training | ||
| """, |
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Suggested change
| run_description=""" | |
| GPT XTTS training | |
| """, | |
| run_description="GPT XTTS training", |
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| wav_chuncks = [] | ||
| for i, chunk in enumerate(chunks): | ||
| if i == 0: | ||
| assert chunk.shape[-1] > 5000 | ||
| wav_chuncks.append(chunk) | ||
| assert len(wav_chuncks) > 1 |
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Typo chuncks, but this simplifies to
Suggested change
| wav_chuncks = [] | |
| for i, chunk in enumerate(chunks): | |
| if i == 0: | |
| assert chunk.shape[-1] > 5000 | |
| wav_chuncks.append(chunk) | |
| assert len(wav_chuncks) > 1 | |
| wav_chunks = list(chunks) # consume generator | |
| assert wav_chunks[0].shape[-1] > 5000 | |
| assert len(wav_chunks) > 1 |
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Updates with V2