Update model card: add paper and code links, update pipeline tag

README.md

@@ -1,23 +1,27 @@
 ---
-license: mit
 library_name: parallel-wavegan
-pipeline_tag: text-to-speech
+license: mit
+pipeline_tag: audio-to-audio
 tags:
-  - vocoder
-  - parallel-wavegan
-  - joycent
-  - mandarin
-  - 16khz
+- vocoder
+- parallel-wavegan
+- joycent
+- mandarin
+- 16khz
 ---
 
 # Joycent ParallelWaveGAN Vocoder
 
-This repository stores the ParallelWaveGAN vocoder used by Joycent Mandarin
-accent text-to-speech inference.
+This repository stores the ParallelWaveGAN vocoder used by Joycent Mandarin accent text-to-speech inference, as presented in the paper [Joycent: Diffusion-based Accent TTS without Accented Phone Prediction](https://huggingface.co/papers/2606.16417).
+
+The model generates 16 kHz audio from 80-bin mel spectrograms. 
+
+- **Official Code:** [oshindow/Joycent-code](https://github.com/oshindow/Joycent-code)
+- **Project Page:** [Demos](https://anonymous-accent-tts.github.io/Joycent-demo/)
 
-The model generates 16 kHz audio from 80-bin mel spectrograms. Keep
-`checkpoint-50000steps.pkl` and `config.yml` in the same directory when loading
-the model with ParallelWaveGAN:
+## Usage
+
+Keep `checkpoint-50000steps.pkl` and `config.yml` in the same directory when loading the model with ParallelWaveGAN:
 
 ```python
 import yaml
@@ -31,5 +35,17 @@ vocoder.remove_weight_norm()
 vocoder.eval()
 ```
 
-The Joycent implementation and inference instructions are available in the
-[Joycent repository](https://github.com/anonymous-accent-tts/Joycent_demo).
+The Joycent implementation and inference instructions are available in the [official repository](https://github.com/oshindow/Joycent-code).
+
+## Citation
+
+```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},
+}
+```