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<p align="center">π <a href="">Technical Report</a>ο½π<a href="https://xqacmer.github.io/Ming-Unitok-Audio.github.io">Project Page</a> ο½π€ <a href="https://huggingface.co/inclusionAI/MingTok-Audio">Hugging Face</a>ο½ π€ <a href="https://modelscope.cn/models/inclusionAI/MingTok-Audio">ModelScope</a>
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## Key Features
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- π **Unified
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- π§ **High-Fidelity Reconstruction:** Achieve high-fidelity audio generation by modeling continuous features with a VAE, minimizing information loss and preserving intricate acoustic textures.
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- π **Convolution-Free Efficiency:** Built on a pure causal transformer architecture, completely eliminating convolutional layers for superior efficiency and a simpler design.
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<p align="center">π <a href="">Technical Report</a>ο½π<a href="https://xqacmer.github.io/Ming-Unitok-Audio.github.io">Project Page</a> ο½π€ <a href="https://huggingface.co/inclusionAI/MingTok-Audio">Hugging Face</a>ο½ π€ <a href="https://modelscope.cn/models/inclusionAI/MingTok-Audio">ModelScope</a>
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## Key Features
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- π **First Unified Continuous Speech Tokenizer:** the first continuous audio tokenizer to effectively integrate semantic and acoustic features, suitable for both understanding and generation tasks.
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- π§ **High-Fidelity Reconstruction:** Achieve high-fidelity audio generation by modeling continuous features with a VAE, minimizing information loss and preserving intricate acoustic textures.
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- π **Convolution-Free Efficiency:** Built on a pure causal transformer architecture, completely eliminating convolutional layers for superior efficiency and a simpler design.
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