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Update README.md

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@@ -15,7 +15,7 @@ On CPU, the model can transcribe a **12-second audio clip in just 0.4 seconds**,
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  - **Language:** Vietnamese
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  - **Loss Function:** RNN-Transducer (RNNT Loss)
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  - **Framework:** PyTorch + k2
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- - **Training strategy**: Carefully preprocess the data, apply an augmentation strategy based on the distribution of out-of-vocabulary (OOV) tokens and Refine the transcriptions using Whisper.
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  - **Optimized for:** High-speed CPU inference
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  ---
 
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  - **Language:** Vietnamese
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  - **Loss Function:** RNN-Transducer (RNNT Loss)
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  - **Framework:** PyTorch + k2
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+ - **Training strategy**: Carefully preprocess the data, apply an augmentation strategy based on the distribution of out-of-vocabulary (OOV) tokens and refine the transcriptions using Whisper.
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  - **Optimized for:** High-speed CPU inference
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  ---