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README.md
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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-
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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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## 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-Quality Reconstruction:** Achieve high-quality 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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