Audio-to-Audio
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  # QuarkAudio-HCodec: A Unified Discrete Audio Tokenizer for High-Fidelity, Multitask Audio Generation
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  <p align="center">
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- <a href="https://arxiv.org/abs/2510.26372">
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  <img src="https://img.shields.io/badge/Paper-ArXiv-red.svg" alt="Paper">
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  </a>
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- <a href="https://huggingface.co/spaces/QuarkAudio/">
 
 
 
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  <img src="https://img.shields.io/badge/Model-Hugging%20Face-yellow.svg" alt="Hugging Face">
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  </a>
 
 
 
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  </p>
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  <p align="center">
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- <a href="https://arxiv.org/abs/2510.26372"><img src="HCodec.jpg" width="70%" /></a>
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  </p>
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  > πŸ”Š **H-Codec**: *A Unified, Dual-Stream Neural Audio Codec with Adaptive Frame Rate and 48kHz Support*
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  - βš™οΈ **Multi-Sampling Rate (H-Codec-2.0)**: Extends the sampling rate from **16kHz to 48kHz** under a fixed frame rate, significantly improving audio fidelity and high-frequency detail preservation.
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  - 🌍 **Unified Foundation**: Designed as a core component for multimodal LLMs, supporting diverse downstream tasks: TTS, VC, Editing, TTA, SE, and more.
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- πŸ“„ **Paper**: [arXiv:2510.26372](https://arxiv.org/abs/2510.26372) | 🎀 **Listen**: [Demo Page](https://hyyan2k.github.io/UniSE/) | πŸ€— **Model**: [Hugging Face Spaces](https://huggingface.co/spaces/QuarkAudio/)
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  ---
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@@ -91,3 +97,4 @@ pip install -r requirements.txt
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  #!/bin/bash
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  python audio_tokenizer.py
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  ```
 
 
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  # QuarkAudio-HCodec: A Unified Discrete Audio Tokenizer for High-Fidelity, Multitask Audio Generation
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  <p align="center">
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+ <a href="https://arxiv.org/pdf/2512.20151">
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  <img src="https://img.shields.io/badge/Paper-ArXiv-red.svg" alt="Paper">
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  </a>
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+ <a href="https://github.com/alibaba/unified-audio/tree/main/QuarkAudio-HCodec/">
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+ <img src="https://img.shields.io/badge/GitHub-Code-green.svg" alt="GitHub">
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+ </a>
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+ <a href="https://huggingface.co/QuarkAudio/QuarkAudio-HCodec/">
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  <img src="https://img.shields.io/badge/Model-Hugging%20Face-yellow.svg" alt="Hugging Face">
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  </a>
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+ <a href="https://www.modelscope.cn/models/QuarkAudio/QuarkAudio-HCodec/">
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+ <img src="https://img.shields.io/badge/Model-%20%E9%AD%94%E6%90%AD-orange.svg" alt="ModelScope">
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+ </a>
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  </p>
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  <p align="center">
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+ <a href="https://arxiv.org/pdf/2512.20151"><img src="HCodec.jpg" width="70%" /></a>
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  </p>
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  > πŸ”Š **H-Codec**: *A Unified, Dual-Stream Neural Audio Codec with Adaptive Frame Rate and 48kHz Support*
 
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  - βš™οΈ **Multi-Sampling Rate (H-Codec-2.0)**: Extends the sampling rate from **16kHz to 48kHz** under a fixed frame rate, significantly improving audio fidelity and high-frequency detail preservation.
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  - 🌍 **Unified Foundation**: Designed as a core component for multimodal LLMs, supporting diverse downstream tasks: TTS, VC, Editing, TTA, SE, and more.
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+ πŸ“„ **Paper**: [arXiv:2510.26372](https://arxiv.org/pdf/2512.20151) | πŸ€— **Model**: [Hugging Face Spaces](https://huggingface.co/QuarkAudio/QuarkAudio-HCodec/)
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  ---
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  #!/bin/bash
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  python audio_tokenizer.py
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  ```
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