| --- |
| language: |
| - en |
| - zh |
| - ja |
| license: mit |
| pipeline_tag: audio-to-audio |
| 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](https://arxiv.org/abs/2512.20211)"**, which is the first work to achieve simple and efficient aliasing-free upsampling-based neural audio generation in the entire field of neural vocoders and codecs. |
|
|
| [**[Project Page]**](https://VocodexElysium.github.io/AliasingFreeNeuralAudioSynthesis/) [**[GitHub Repository]**](https://github.com/sizigi/AliasingFreeNeuralAudioSynthesis) [**[Paper]**](https://arxiv.org/abs/2512.20211) |
| |
| ## 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 |
| |
| You need to put the pretrained models in: |
| |
| ```bash |
| AliasingFreeNeuralAudioSynthesis/experiments |
| ``` |
| |
| of our official repository, and then follow the instructions written in the [GitHub repository](https://github.com/sizigi/AliasingFreeNeuralAudioSynthesis) 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 = {arXiv:2512.20211}, |
| } |
| ``` |