metadata
library_name: pytorch
license: mit
pipeline_tag: text-to-speech
tags:
- accent-tts
- mandarin
- joycent
- grad-tts
- whisaid
Joycent trained with WhisAID Medium GRL accent embeddings
This is a Joycent Mandarin accent TTS acoustic model trained using accent
embeddings extracted by
walston/whisaid-medium-grl.
The released checkpoint is epoch 100.
- Paper: Joycent: Diffusion-based Accent TTS without Accented Phone Prediction
- Code: oshindow/Joycent-code
- Accent encoder: walston/whisaid-medium-grl
- Vocoder: walston/joycent-vocoder
Download
from huggingface_hub import hf_hub_download
checkpoint_path = hf_hub_download(
repo_id="walston/joycent-medium-grl",
filename="grad_100.pt",
)
Pass the downloaded checkpoint to joycent/inference_joycent.py with the
--acoustic-checkpoint argument. Full synthesis also requires the Joycent
vocoder and reference-audio feature extraction dependencies described in the
Joycent repository.
Checkpoint
- Epoch: 100
- Acoustic model: Joycent / Grad-TTS
- Accent embedding model: WhisAID Whisper Medium GRL (lambda 0.05)
- Accent embedding dimension: 256
Citation
@misc{wang2026joycentdiffusionbasedaccenttts,
title={Joycent: Diffusion-based Accent TTS without Accented Phone Prediction},
author={Xintong Wang and Ye Wang},
year={2026},
eprint={2606.16417},
archivePrefix={arXiv},
primaryClass={cs.SD},
}