Cosyvoice3 Sg

Project Resources

• Paper: Joycent: Diffusion-based Accent TTS without Accented Phone Prediction
• Code: oshindow/Joycent-code
• Demo: Joycent Project Page

Inference

The inference wrapper for this model is available in the Joycent project as joycent/inference_cosyvoice.py.

Citation

If you find this work useful, please cite:

@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},
}

--- base_model: FunAudioLLM/Fun-CosyVoice3-0.5B-2512 license: apache-2.0 pipeline_tag: text-to-speech tags: - text-to-speech - cosyvoice - singapore-mandarin --- # CosyVoice3 SG This repository contains the `llm.pt` checkpoint fine-tuned on the Singapore Mandarin subset, as presented in the paper [Joycent: Diffusion-based Accent TTS without Accented Phone Prediction](https://huggingface.co/papers/2606.16417). The remaining CosyVoice3 components are loaded from [FunAudioLLM/Fun-CosyVoice3-0.5B-2512](https://huggingface.co/FunAudioLLM/Fun-CosyVoice3-0.5B-2512). The checkpoint is intended to replace the base model's `llm.pt`; it does not include `flow.pt`, `hift.pt`, tokenizer, or ONNX files. ## Project Resources - **Paper:** [Joycent: Diffusion-based Accent TTS without Accented Phone Prediction](https://huggingface.co/papers/2606.16417) - **Code:** [oshindow/Joycent-code](https://github.com/oshindow/Joycent-code) - **Demo:** [Joycent Project Page](https://anonymous-accent-tts.github.io/Joycent-demo/) ## Inference The inference wrapper for this model is available in the Joycent project as `joycent/inference_cosyvoice.py`. ## Citation If you find this work useful, please cite: ```bibtex @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}, } ```