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--- |
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license: mit |
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language: |
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- en |
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- zh |
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- ja |
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tags: |
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- speech |
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- singing |
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- singing voice |
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- audio |
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- music |
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- vocoder |
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- codec |
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- pytorch |
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--- |
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## Aliasing-Free Neural Audio Synthesis |
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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. |
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For more details, please visit our [GitHub Repository](https://github.com/sizigi/AliasingFreeNeuralAudioSynthesis). |
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## Model Checkpoints |
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This repository contains the following checkpoints: |
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| Model Name | Directory | Description | |
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| ----------------- | ---------------------------- | ------------------------------------------------- | |
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| **Pupu-Vocoder_Small** | `./pupuvocoder/*` | 14M parameter small version of Pupu-Vocoder. | |
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| **Pupu-Vocoder_Large** | `./pupuvocoder_large/*` | 122M parameter large version of Pupu-Vocoder. | |
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| **Pupu-Codec_Small** | `./pupucodec/*` | 32M parameter small version of Pupu-Codec. | |
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| **Pupu-Codec_Large** | `./pupucodec_large/*` | 119M parameter large version of Pupu-Codec. | |
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## How to use |
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You need to put the pretrained models in: |
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```bash |
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AliasingFreeNeuralAudioSynthesis/experiments |
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``` |
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of our official repository, and then follow the instructions written in the repository to resume, finetune, and inference our pretrained checkpoints. |
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## Citation |
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```bibtex |
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@article{afgen, |
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title = {Aliasing Free Neural Audio Synthesis}, |
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author = {Yicheng Gu and Junan Zhang and Chaoren Wang and Jerry Li and Zhizheng Wu and Lauri Juvela}, |
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year = {2025}, |
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journal = {arXiv:2512.20211}, |
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} |
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``` |
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