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@@ -35,10 +35,10 @@ The model was trained on approximately **6000 hours of high-quality Vietnamese s
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  | **Dataset** | **ZipFormer-30M-6000h** | **ChunkFormer-110M-3000h** | **PhoWhisper-Large-1.5B-800h** | **VietASR-ZipFormer-68M-70.000h** |
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  |--------------|--------------------------|-----------------------------|--------------------------------|---------------------------------|
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- | **VLSP2023-PublicTest (Set 1)** | **10.40** | 16.15 | 16.83 | 14.70 |
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- | **VLSP2023-PublicTest (Set 2)** | **11.10** | 17.12 | 17.10 | 15.07 |
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  | **VLSP2025-PublicTest (Set 1)** | **7.97** | 15.55 | 16.14 | 13.55 |
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- | **VLSP2025-PublicTest (Set 2)** | **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** | **ChunkFormer-110M-3000h** | **PhoWhisper-Large-1.5B-800h** | **VietASR-ZipFormer-68M-70.000h** |
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  |--------------|--------------------------|-----------------------------|--------------------------------|---------------------------------|
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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 (Set 1)** | **7.97** | 15.55 | 16.14 | 13.55 |
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+ | **VLSP2025-PrivateTest (Set 2)** | **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 %)