Comments (2)
Hi! The README is supposed to be just that, a beginner friendly guide for how to do everything. The meta learning checkpoint that is provided is trained on 15 languages and thousands of speaker and is very useful for finetuning to a new language. A lot has changed since I originally wrote the README file, so I might rewrite it soon so it's more up to date with the finetuning. There is a pipeline to finetune a model on a new language in an experimental branch, that will become part of the main branch in the future:
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Thank you!
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Related Issues (20)
- Samples HOT 1
- Too much Distortion while synthesizing high pitch female voices HOT 8
- Feature request - [New German Data Set Thorsten – 2022.10 Available for Re-Training HOT 8
- Model training stops all of a sudden HOT 5
- Question about dataset HOT 6
- multispeaker multilanguage finetuning HOT 11
- What do the cycle objectives refer to ? HOT 1
- Can I improve the generated output naturalness ? HOT 10
- Sound quality dropped compared to Huggingface HOT 1
- Inference Performance HOT 5
- Does finetuning Vocoder on generated mels work? HOT 3
- How is the new PortaSpeech Implementation performing? HOT 7
- About Multilingual Training HOT 3
- Can you release Avocodo 24k vocoder model HOT 2
- Option to generate audio file to hear how the training evolves HOT 2
- Multi-Speaker Training HOT 14
- Multi-Speaker Inference HOT 6
- Spectogram Loss Value is NaN HOT 11
- Suggestion for the French language HOT 8
- RuntimeError: language "de" is not supported by the espeak backend HOT 2
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