README.md

---
license: mit
datasets:
- Wenetspeech4TTS/WenetSpeech4TTS
language:
- zh
pipeline_tag: text-to-speech
---

## The vanilla NaturalSpeech2 train on WenetSpeech4TTS using Amphion tooltik.

The entire training process follows its training code, except that the text-to-phoneme feature step and text encoder are slightly different.

### Checkpoints

- **ns2_base_model.bin** : NaturalSpeech2 trained with the WenetSpeech4TTS Basic subset
- **ns2_38_model.bin** : NaturalSpeech2 Basic fine-tuning with the WenetSpeech4TTS Standard subset
- **ns2_4_model.bin** : NaturalSpeech2 Standard fine-tuning with the WenetSpeech4TTS Premium subset

### usage
coming soon.
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