Update README.md

README.md

@@ -1,3 +1,54 @@
----
-license: mit
----
+---
+license: mit
+language:
+- en
+- zh
+- ja
+tags:
+- speech
+- singing
+- singing voice
+- audio
+- music
+- vocoder
+- codec
+- pytorch
+---
+
+## Aliasing Free Neural Audio Synthesis
+
+This is the official Hugging Face model repository for the paper **"[Aliasing Free Neural Audio Synthesis](TBD)"**, which is the first work to achieve efficient and straightforward aliasing-free upsampling-based neural audio generation in the entire field of Neural Vocoder & Codec.
+
+For more details, please visit our [GitHub Repository](https://github.com/sizigi/AliasingFreeNeuralAudioSynthesis).
+
+## Model Checkpoints
+
+This repository contains the following checkpoints:
+
+| Model Name        | Directory                    | Description                                       |
+| ----------------- | ---------------------------- | ------------------------------------------------- |
+| **Pupu-Vocoder_Small**            | `./pupuvocoder/*`            | 14M parameter small version of Pupu-Vocoder.   |
+| **Pupu-Vocoder_Large** | `./pupuvocoder_large/*` | 122M parameter large version of Pupu-Vocoder.   |
+| **Pupu-Codec_Small**       | `./pupucodec/*`       | 32M parameter small version of Pupu-Codec. |
+| **Pupu-Codec_Large**       | `./pupucodec_large/*`       | 119M parameter large version of Pupu-Codec. |
+
+## How to use
+
+To run this model, you need to put the pretrained models in:
+
+```bash
+  AliasingNeuralAudioSynthesis/experiments
+```
+
+of our official repository, and then follow the instructions written in the repository to resume, finetune, and inference our pretrained checkpoints.
+
+## Citation
+
+```bibtex
+@article{afgen,
+  title        = {Aliasing Free Neural Audio Synthesis},
+  author       = {Yicheng Gu and Junan Zhang and Chaoren Wang and Jerry Li and Zhizheng Wu and Lauri Juvela},
+  year         = {2025},
+  journal      = {TBD},
+}
+```