| 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 | |