Comments (1)
I dont think it is a part of what is aimed by TTS . Being said that it is easy to hack it in the training code. Just take the loss values for the whole epoch and report them in a sorted order.
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Related Issues (20)
- new version numpy from text-generation-webui HOT 1
- Hinglish Language TTS HOT 2
- [Bug] atttributeError: 'Tacotron2' object has no attribute 'args' HOT 1
- How to increase the 250 token limits for TTS
- [Feature request] Enhance Accessibility: Develop a User-Friendly Windows Installer and UI for VITS TTS
- [Bug] ImportError: cannot import name 'parametrize' from 'torch.nn.utils' HOT 1
- Please update to be able to use with Python 3.12 HOT 6
- Finetuning for new language HOT 1
- [Bug] Wrong value for perceiver_cond_length_compression (256 instead of 1024) HOT 1
- [!] `train_step()` retuned `None` outputs. Skipping training step. HOT 1
- [Bug] fairseq fix missing dataset, model var initialization HOT 2
- Question: Why is the model size different when trained using train_gpt_xtts.py in xtts_v2 compared to the baseline model?
- cannot import name 'magphase' from 'librosa' HOT 2
- [Bug] Time taken to run TTS command far greater than actual processing time HOT 8
- [Bug] Unable to use xtts_v2 with mps device on Apple Silicon
- [Bug] Cannot use Docker image HOT 1
- [Bug] very longinstallation that ends up with error HOT 2
- [Feature request] Language Support ("Hindi") missing in XTTS on local machine. HOT 2
- [Bug] bug in tts_to_file HOT 1
- PermissionError: [WinError 32] The process cannot access the file because it is being used by another process. HOT 8
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