Update README.md

README.md

@@ -20,12 +20,12 @@ pipeline_tag: automatic-speech-recognition
 
 ## Model Details
 
-This system is a collection of three fine-tuned models monitoring False Alarm, Missed Detection, and Speaker Confusion, to be fused with [DOVER-Lap](https://github.com/desh2608/dover-lap).
-More information about the fusion of these models can be found in this [paper](https://www.isca-archive.org/iberspeech_2024/souganidis24_iberspeech.html)
+This system is a collection of three fine-tuned models, to be fused with [DOVER-Lap](https://github.com/desh2608/dover-lap).
+Each models is fine-tuned monitoring a different metric component of Diarization Error Rate (i.e., False Alarm, Missed Detection, and Speaker Confusion).
+More information about the fusion of these models can be found in this [paper](https://www.isca-archive.org/iberspeech_2024/souganidis24_iberspeech.html).
 
 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%