HiTZ
/

pyannote-segmentation-3.0-RTVE

Automatic Speech Recognition

speaker-diarization

Model card Files Files and versions Community

chsougan commited on 22 days ago

Commit

1c7a0ab

·

verified ·

1 Parent(s): c7d9e17

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -26,7 +26,7 @@ More information about the fusion of these models can be found in this [paper](h
 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.
-On the RTVE2024 test set it achives the following results (two-decimal rounding):
 - Diarization Error Rate (DER): 14.98%
 - False Alarm: 2.64%

 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.
+On the RTVE2024 test set it achives the following results (two-decimal rounding), being the best-performing system of Albayzin Evaluations 2024:
 - Diarization Error Rate (DER): 14.98%
 - False Alarm: 2.64%