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@@ -44,12 +44,12 @@ The model was trained on approximately **6000 hours of high-quality Vietnamese s
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  | **Dataset** | **ZipFormer-30M-6000h** | **ZipFormer-30M-Streaming-chunk32-6000h** | **ChunkFormer-110M-3000h** | **PhoWhisper-Large-1.5B-800h** | **VietASR-ZipFormer-68M-70.000h** |
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  |--------------|--------------------------|------------------------------------|-----------------------------|--------------------------------|---------------------------------|
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- | **VLSP2020-Test-T1** | **12.29** | -- | 14.09 | 13.75 | 14.45 |
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- | **VLSP2023-PublicTest** | **10.40** | -- | 16.15 | 16.83 | 14.70 |
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- | **VLSP2023-PrivateTest** | **11.10** | -- | 17.12 | 17.10 | 15.07 |
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- | **VLSP2025-PublicTest** | **7.97** | -- | 15.55 | 16.14 | 13.55 |
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- | **VLSP2025-PrivateTest** | **8.10** | -- | 16.07 | 16.31 | 13.97 |
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- | **GigaSpeech2-Test** | 7.56 | -- | 10.35 | 10.00 | **6.88** |
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  > Lower is better (WER %)
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  | **Dataset** | **ZipFormer-30M-6000h** | **ZipFormer-30M-Streaming-chunk32-6000h** | **ChunkFormer-110M-3000h** | **PhoWhisper-Large-1.5B-800h** | **VietASR-ZipFormer-68M-70.000h** |
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  |--------------|--------------------------|------------------------------------|-----------------------------|--------------------------------|---------------------------------|
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+ | **VLSP2020-Test-T1** | **12.29** | | 14.09 | 13.75 | 14.45 |
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+ | **VLSP2023-PublicTest** | **10.40** | 14.29 | 16.15 | 16.83 | 14.70 |
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+ | **VLSP2023-PrivateTest** | **11.10** | 14.36 | 17.12 | 17.10 | 15.07 |
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+ | **VLSP2025-PublicTest** | **7.97** | 12.70 | 15.55 | 16.14 | 13.55 |
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+ | **VLSP2025-PrivateTest** | **8.10** | 12.80 | 16.07 | 16.31 | 13.97 |
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+ | **GigaSpeech2-Test** | 7.56 | 9.72 | 10.35 | 10.00 | **6.88** |
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  > Lower is better (WER %)
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