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@@ -24,7 +24,7 @@ Pretrained pipelines reach state-of-the-art performance on most academic benchma
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  | [Ego4D](https://arxiv.org/abs/2110.07058) (dev.) | 61.5 | 51.2 | 44.0 |
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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 | 11.1 |
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- | [REPERE](https://www.islrn.org/resources/360-758-359-485-0/) (phase2) | 8.2 | 7.8 | 8.3 |
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  | [VoxConverse](https://github.com/joonson/voxconverse) (v0.3) | 11.2 | 11.3 | 9.8 |
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  [Diarization error rate](http://pyannote.github.io/pyannote-metrics/reference.html#diarization) (in %)
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  | [Ego4D](https://arxiv.org/abs/2110.07058) (dev.) | 61.5 | 51.2 | 44.0 |
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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 | 11.1 |
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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 | 9.8 |
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  [Diarization error rate](http://pyannote.github.io/pyannote-metrics/reference.html#diarization) (in %)
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