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@@ -20,9 +20,9 @@ Pretrained pipelines reach state-of-the-art performance on most academic benchma
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  | [AVA-AVD](https://arxiv.org/abs/2111.14448) | 66.3 | 50.0 | 39.8 |
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  | [CALLHOME](https://catalog.ldc.upenn.edu/LDC2001S97) ([part 2](https://github.com/BUTSpeechFIT/CALLHOME_sublists/issues/1)) | 31.6 | 28.4 | 22.2 |
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  | [DIHARD 3](https://catalog.ldc.upenn.edu/LDC2022S14) ([full](https://arxiv.org/abs/2012.01477)) | 26.9 | 21.7 | 17.2 |
 
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  | [Ego4D](https://arxiv.org/abs/2110.07058) (dev.) | 61.5 | 51.2 | 43.8 |
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  | [MSDWild](https://github.com/X-LANCE/MSDWILD) | 32.8 | 25.3 | 19.8 |
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- | [Earnings21](https://github.com/revdotcom/speech-datasets) | 17.0 | 9.4 | 9.0 |
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  | [RAMC](https://www.openslr.org/123/) | 22.5 | 22.2 | 18.4 |
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  | [REPERE](https://www.islrn.org/resources/360-758-359-485-0/) (phase2) | 8.2 | 7.8 | 7.6 |
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  | [VoxConverse](https://github.com/joonson/voxconverse) (v0.3) | 11.2 | 11.3 | 9.4 |
 
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  | [AVA-AVD](https://arxiv.org/abs/2111.14448) | 66.3 | 50.0 | 39.8 |
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  | [CALLHOME](https://catalog.ldc.upenn.edu/LDC2001S97) ([part 2](https://github.com/BUTSpeechFIT/CALLHOME_sublists/issues/1)) | 31.6 | 28.4 | 22.2 |
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  | [DIHARD 3](https://catalog.ldc.upenn.edu/LDC2022S14) ([full](https://arxiv.org/abs/2012.01477)) | 26.9 | 21.7 | 17.2 |
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+ | [Earnings21](https://github.com/revdotcom/speech-datasets) | 17.0 | 9.4 | 9.0 |
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  | [Ego4D](https://arxiv.org/abs/2110.07058) (dev.) | 61.5 | 51.2 | 43.8 |
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  | [MSDWild](https://github.com/X-LANCE/MSDWILD) | 32.8 | 25.3 | 19.8 |
 
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  | [RAMC](https://www.openslr.org/123/) | 22.5 | 22.2 | 18.4 |
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  | [REPERE](https://www.islrn.org/resources/360-758-359-485-0/) (phase2) | 8.2 | 7.8 | 7.6 |
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  | [VoxConverse](https://github.com/joonson/voxconverse) (v0.3) | 11.2 | 11.3 | 9.4 |