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  license: mit
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  ---
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- https://github.com/SWivid/AUV
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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  ---
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+ # AUV
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+
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+ > Teaching **A**udio **U**niversal **V**ector Quantization with Single Nested Codebook
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+
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+ [![python](https://img.shields.io/badge/Python-3.8-brightgreen?logo=Python&style=for-the-badge)](https://www.python.org/)
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+ [![arXiv](https://img.shields.io/badge/Paper-2509.21968-b31b1b.svg?logo=arXiv&style=for-the-badge)](https://arxiv.org/abs/2509.21968)
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+ [![demo](https://img.shields.io/badge/Demo-Samples-orange.svg?logo=Github&style=for-the-badge)](https://swivid.github.io/AUV/)
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+
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+ ## Setup
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+ ```bash
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+ pip install auv
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+ wget https://huggingface.co/SWivid/AUV/resolve/main/auv.pt
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+ ```
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+
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+ ## Inference
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+ Command line usage, reconstruct all `.wav` files under the `input-dir` and write to the `output-dir`:
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+ ```bash
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+ auv-infer --input-dir INPUT_WAV_DIR --output-dir OUTPUT_WAV_DIR --ckpt CKPT_PATH
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+ # if torch.bfloat16 inference: --bf16
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+ # if need to assign gpu: --device cuda:0
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+ ```
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+
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+ Python script usage see [`src/auv/infer.py`](src/auv/infer.py).