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Ming-Lite-Omni

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@@ -117,7 +117,7 @@ Note: All models are evaluated based on 128 uniformly sampled frames.
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  | Model | aishell1 | aishell2_android | aishell2_ios | cv15_zh | fleurs_zh | wenetspeech_meeting | wenetspeech_net | librispeech_test_clean | librispeech_test_other | multilingual_librispeech | cv15_en | fleurs_en | voxpopuli_v1.0_en |
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- |:--------------:|:--------:|:----------------:|:------------:|:--------:|:---------:|:-------------------:|:---------------:|:----------------------:|:----------------------:|:------------------------:|:--------:|:---------:|:--------------------:|\
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  | Ming-lite-omni | 1.47 | **2.55** | **2.52** | 6.31 | 2.96 | 5.95 | 5.46 | 1.44 | 2.80 | **4.15** | **6.89** | **3.39** | **5.80** |
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  | Qwen2.-Omni | 1.18 | 2.75 | 2.63 | **5.20** | 3.00 | **5.90** | 7.70 | 1.80 | 3.40 | 7.56 | 7.60 | 4.10 | **5.80** |
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  | Qwen2-Audio | 1.53 | 2.92 | 2.92 | 6.90 | 7.50 | 7.16 | 8.42 | 1.60 | 3.60 | 5.40 | 8.60 | 6.90 | 6.84 |
 
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  | Model | aishell1 | aishell2_android | aishell2_ios | cv15_zh | fleurs_zh | wenetspeech_meeting | wenetspeech_net | librispeech_test_clean | librispeech_test_other | multilingual_librispeech | cv15_en | fleurs_en | voxpopuli_v1.0_en |
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+ |:--------------:|:--------:|:----------------:|:------------:|:--------:|:---------:|:-------------------:|:---------------:|:----------------------:|:----------------------:|:------------------------:|:--------:|:---------:|:--------------------:|
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  | Ming-lite-omni | 1.47 | **2.55** | **2.52** | 6.31 | 2.96 | 5.95 | 5.46 | 1.44 | 2.80 | **4.15** | **6.89** | **3.39** | **5.80** |
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  | Qwen2.-Omni | 1.18 | 2.75 | 2.63 | **5.20** | 3.00 | **5.90** | 7.70 | 1.80 | 3.40 | 7.56 | 7.60 | 4.10 | **5.80** |
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  | Qwen2-Audio | 1.53 | 2.92 | 2.92 | 6.90 | 7.50 | 7.16 | 8.42 | 1.60 | 3.60 | 5.40 | 8.60 | 6.90 | 6.84 |