diff --git a/api/run_eval.py b/api/run_eval.py
index 92ded64..b9a2457 100644
--- a/api/run_eval.py
+++ b/api/run_eval.py
@@ -198,23 +198,38 @@ def transcribe_with_retry(
 
             elif model_name.startswith("elevenlabs/"):
                 client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))
+
+                api_params = {
+                    "model_id": model_name.split("/")[1],
+                    "language_code": "en",
+                    "diarize": True,
+                    "timestamps_granularity": "word",
+                }
+
                 if use_url:
                     response = requests.get(sample["row"]["audio"][0]["src"])
                     audio_data = BytesIO(response.content)
-                    transcription = client.speech_to_text.convert(
-                        file=audio_data,
-                        model_id=model_name.split("/")[1],
-                        language_code="eng",
-                        tag_audio_events=True,
-                    )
+                    transcription = client.speech_to_text.convert(file=audio_data, **api_params)
                 else:
                     with open(audio_file_path, "rb") as audio_file:
-                        transcription = client.speech_to_text.convert(
-                            file=audio_file,
-                            model_id=model_name.split("/")[1],
-                            language_code="eng",
-                            tag_audio_events=True,
-                        )
+                        transcription = client.speech_to_text.convert(file=audio_file, **api_params)
+
+                if hasattr(transcription, 'words') and transcription.words:
+                    speaker_word_counts = {}
+                    speaker_words = {}
+
+                    for word_obj in transcription.words:
+                        if hasattr(word_obj, 'speaker_id') and word_obj.speaker_id:
+                            speaker_id = word_obj.speaker_id
+                            speaker_word_counts[speaker_id] = speaker_word_counts.get(speaker_id, 0) + 1
+                            if speaker_id not in speaker_words:
+                                speaker_words[speaker_id] = []
+                            speaker_words[speaker_id].append(word_obj.text)
+
+                    if speaker_word_counts:
+                        dominant_speaker = max(speaker_word_counts, key=speaker_word_counts.get)
+                        return " ".join(speaker_words[dominant_speaker])
+
                 return transcription.text
 
             elif model_name.startswith("revai/"):