p

util.py

@@ -99,7 +99,7 @@ def calculate_pronunciation_accuracy(reference_text, output_text, script_choice)
     """
     Calculate pronunciation accuracy between reference and ASR output text using Epitran.
     """
-    
+
     # make sure input text is arabic script for IPA conversion
     if script_choice == 'Uyghur Latin':
         reference_text = ug_latn_to_arab(reference_text) 
@@ -119,15 +119,12 @@ def calculate_pronunciation_accuracy(reference_text, output_text, script_choice)
     # Convert to percentage
     pronunciation_accuracy = match_ratio * 100
 
-    # Convert reference back to original script for feedback output
-    if script_choice == 'Uyghur Latin':
-        reference_text_clean = ug_arab_to_latn(reference_text_clean) 
      # Generate Markdown-compatible styled text
     comparison_md = "<h4>Pronunciation Feedback</h4>\n"  # Small header
     comparison_md += "<div style='margin-top: 10px;'>\n"  # Add some spacing
     for opcode, i1, i2, j1, j2 in matcher.get_opcodes():
-        ref_segment = reference_text_clean[i1:i2]
-        out_segment = output_text_clean[j1:j2]
+        ref_segment = reference_ipa[i1:i2]
+        out_segment = output_ipa[j1:j2]
 
         if opcode == 'equal':  # Matching characters
             comparison_md += f'<span style="color: green; font-size: 20px;">{ref_segment}</span>'