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Zipformer-30M-RNNT-6000h

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@@ -9,7 +9,7 @@ On CPU, the model can transcribe a **12-second audio clip in just 0.4 seconds**,
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- ## ⚙️ Model Architecture
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  - **Architecture:** ZipFormer
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  - **Parameters:** ~30M
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  - **Language:** Vietnamese
@@ -24,7 +24,7 @@ The model was trained on approximately **6000 hours of high-quality Vietnamese s
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  | Dataset | | |
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  |----------|----------|----------|
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- | VLSP2020 | VLSP2021 | VLSP2022 |
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  | VLSP2023 | FPT | VIET_BUD500 |
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  | VietSpeech | FLEURS | VietMed_Labeled |
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  | Sub-GigaSpeech2-Vi | ViVoice | Sub-PhoAudioBook |
 
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+ ## ⚙️ Model Architecture and Training strategy:
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  - **Architecture:** ZipFormer
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  - **Parameters:** ~30M
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  - **Language:** Vietnamese
 
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  | Dataset | | |
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  |----------|----------|----------|
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+ | VLSP2020 | VLSP2021 | VLSP2023-voting-pseudo-labeled |
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  | VLSP2023 | FPT | VIET_BUD500 |
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  | VietSpeech | FLEURS | VietMed_Labeled |
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  | Sub-GigaSpeech2-Vi | ViVoice | Sub-PhoAudioBook |