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@@ -10,14 +10,15 @@ library_name: pyannote-audio
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  ## Model Details
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- This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) on [the RTVE database](https://catedrartve.unizar.es/rtvedatabase.html) used for Albayzin Evaluations of IberSPEECH 2024.
 
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  On the RTVE2024 test set it achives the following results (two-decimal rounding):
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- - Diarization Error Rate (DER): 15.19%
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- - False Alarm: 2.74%
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- - Missed Detection: 4.55%
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- - Speaker Confusion: 7.90%
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  ## Uses
 
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  ## Model Details
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+ This a collection of three fine-tuned models monitoring False Alarm, Missed Detection, and Speaker Confusion.
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+ Each model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) on [the RTVE database](https://catedrartve.unizar.es/rtvedatabase.html) used for Albayzin Evaluations of IberSPEECH 2024.
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  On the RTVE2024 test set it achives the following results (two-decimal rounding):
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+ - Diarization Error Rate (DER): 14.98%
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+ - False Alarm: 2.64%
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+ - Missed Detection: 4.54%
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+ - Speaker Confusion: 7.80%
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  ## Uses