---
library_name: pytorch
license: mit
pipeline_tag: text-to-speech
tags:
- accent-tts
- mandarin
- joycent
- grad-tts
- whisaid
---

# Joycent trained with WhisAID accent embeddings

This Joycent Mandarin accent TTS acoustic model was trained using accent
embeddings extracted by [walston/whisaid-medium-grl](https://huggingface.co/walston/whisaid-medium-grl).
The released checkpoint is epoch 100.

- **Accent encoder:** [walston/whisaid-medium-grl](https://huggingface.co/walston/whisaid-medium-grl)
- **Vocoder:** [walston/joycent-vocoder](https://huggingface.co/walston/joycent-vocoder)

## Download

```python
from huggingface_hub import hf_hub_download

checkpoint_path = hf_hub_download(
    repo_id="walston/joycent-medium-grl-add",
    filename="grad_100.pt",
)
```

Pass the path to `joycent/inference_joycent.py` with
`--acoustic-checkpoint`. Full synthesis also requires the Joycent vocoder.

## Checkpoint

- Epoch: 100
- Acoustic model: Joycent / Grad-TTS
- Accent embedding dimension: 256