spellbrush/AliasingFreeNeuralAudioSynthesis

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:

How to use

You need to put the pretrained models in:

  AliasingFreeNeuralAudioSynthesis/experiments

of our official repository, and then follow the instructions written in the GitHub repository to resume, finetune, and inference our pretrained checkpoints.

Citation

@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},
}