Update README.md

README.md

@@ -63,7 +63,11 @@ The model is particularly well-suited for applications requiring detailed transc
 
 ## Performance
 
-### Word Error Rate (WER) Comparison with Whisper Large V3 on LangAge and ESLO (containing interjections, hesitations etc.)
+### Word Error Rate (WER) Comparison with Whisper Large V3
+
+WER is computed on LangAge and ESLO, containing interjections, hesitations. This dataset is challenging for ASR models, because it contains many recordings of older people with different voice quality, and because features of spontaneous speech are difficult to transcribe.
+
+Lower WER indicates better performance. 
 
 | Dataset Category | Sample Size | Whisper Large V3 | FrWhisper | Improvement |
 |-----------------|-------------|------------------|----------------|-------------|