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license: cc-by-nc-4.0
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# 🔥 News
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- *2025.05.
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- *2025.05.
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## Introduction of DistilCodec
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The foundational network architecture of DistilCodec adopts an Encoder-VQ-Decoder framework
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similar to that proposed in Soundstream. The encoder employs a ConvNeXt-V2 structure,
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while the vector quantization module implements the GRFVQ scheme. The decoder
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employs a ConvTranspose1d based architectural configuration similar to HiFiGAN. The training methodol-
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license: cc-by-nc-4.0
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<div align="center">
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<h1>
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DistilCodec
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</h1>
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<p>
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<b><em>DistilCodec: A Single Codebook Audio Codec For Universal Audio</em></b>
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</p>
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<p>
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</p>
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</p>
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<a href="https" style="color:red">Paper </a> |
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<a href="https://huggingface.co/IDEA-Emdoor/DistilCodec-v1.0" style="color:#FFD700">Hugging Face Model</a>
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<a href="https://github.com/IDEA-Emdoor-Lab/DistilCodec" style="color:gray">Code</a>
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<p>
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<img src="./idea_logo.png" alt="Institution 1" style="width: 200px; height: 60px;">
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<img src="./yidao_logo.png" alt="Institution 2" style="width: 200px; height: 60px;">
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<img src="./yijiayiban.png" alt="Institution 3" style="width: 200px; height: 60px;">
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</p>
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</div>
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# 🔥 News
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- *2025.05.27*: We release DistilCodec-v1.0 checkpoint on [huggingface](https://huggingface.co/IDEA-Emdoor/DistilCodec-v1.0).
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- *2025.05.26*: We release the code of DistilCodec-v1.0, including training and inference.
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- *2025.05.24*: We release UniTTS and DistilCodec on [arxiv](https://arxiv.org/abs/2408.16532).
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## Introduction of DistilCodec
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The Joint Laboratory of International Digital Economy Academy (IDEA) and Emdoor, in collaboration with Emdoor Information Technology Co., Ltd., and Shenzhen Yijiayiban Information Technology Co., Ltd, has launched DistilCodec - A Single-Codebook Neural Audio Codec (NAC) with 32768 codes trained on uniersal audio.The foundational network architecture of DistilCodec adopts an Encoder-VQ-Decoder framework
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similar to that proposed in Soundstream. The encoder employs a ConvNeXt-V2 structure,
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while the vector quantization module implements the GRFVQ scheme. The decoder
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employs a ConvTranspose1d based architectural configuration similar to HiFiGAN. The training methodol-
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