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add readme

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@@ -10,12 +10,13 @@ This repository provides an implementation of the MiniMax-Speech model, featurin
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  ## Key Features
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- - **24kHz Audio Support**: High-quality audio generation at 24kHz sampling rate
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- - **Two-Stage Architecture**: Optimized training pipeline with discrete and continuous representations
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- - **Modular Design**: Separate components for audio codec and variational autoencoder
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- - **CosyVoice2 Decoder**: Leverages proven components from the CosyVoice2's Decoder framework
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- - **Flow matching AE**: Flow matching training for autoencoders
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- - **Immiscible assignment**: Support immiscible adding noise while training
 
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  ## Architecture
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  ## Key Features
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+ - [ ] **24kHz Audio Support**: High-quality audio generation at 24kHz sampling rate
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+ - [ ] **Two-Stage Architecture**: Optimized training pipeline with discrete and continuous representations
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+ - [ ] **Modular Design**: Separate components for audio codec and variational autoencoder
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+ - [ ] **CosyVoice2 Decoder**: Leverages proven components from the CosyVoice2's Decoder framework
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+ - [ ] **Flow matching AE**: Flow matching training for autoencoders
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+ - [ ] **Immiscible assignment**: Support immiscible adding noise while training
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+ - [ ] **Contrastive Flow matching**: Support Contrastive training
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  ## Architecture
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