Safetensors
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  ## Acknowledgements
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  - [Qwen3](https://github.com/QwenLM/Qwen3) and [Qwen2-Audio](https://github.com/QwenLM/Qwen2-Audio) for the language model and audio understanding foundations
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- - [DiTAR](https://arxiv.org/abs/2502.03930) for the patch-level diffusion autoregressive formulation
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  - [X-Codec](https://github.com/zhenye234/xcodec) for the discriminator design used in RedAE training
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  - [CAM++](https://modelscope.cn/models/iic/speech_campplus_sv_en_voxceleb_16k) for speaker embedding extraction
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  - [fastText](https://fasttext.cc/docs/en/language-identification.html) for automatic language identification
 
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  ## Acknowledgements
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  - [Qwen3](https://github.com/QwenLM/Qwen3) and [Qwen2-Audio](https://github.com/QwenLM/Qwen2-Audio) for the language model and audio understanding foundations
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+ - [DiTAR] for the patch-level diffusion autoregressive formulation
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  - [X-Codec](https://github.com/zhenye234/xcodec) for the discriminator design used in RedAE training
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  - [CAM++](https://modelscope.cn/models/iic/speech_campplus_sv_en_voxceleb_16k) for speaker embedding extraction
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  - [fastText](https://fasttext.cc/docs/en/language-identification.html) for automatic language identification