Update Realtime Out-of-Band Transcription notebook to improve clarity by modifying execution count handling and enhancing the description of transcription model performance, highlighting specific instances of accuracy in comparison to the traditional model.

Author: minh-hoque

examples/Realtime_out_of_band_transcription.ipynb

@@ -727,7 +727,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 12,
+      "execution_count": null,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -738,7 +738,6 @@
         "    voice: str = DEFAULT_VOICE,\n",
         "    instructions: str = REALTIME_MODEL_PROMPT,\n",
         "    transcription_instructions: str = REALTIME_MODEL_TRANSCRIPTION_PROMPT,\n",
-        "    summary_instructions: str | None = None,\n",
         "    input_audio_transcription_model: str | None = \"gpt-4o-transcribe\",\n",
         "    silence_duration_ms: int = DEFAULT_SILENCE_DURATION_MS,\n",
         "    prefix_padding_ms: int = DEFAULT_PREFIX_PADDING_MS,\n",
@@ -928,7 +927,7 @@
       "metadata": {},
       "source": [
         "From the above example, we can notice:\n",
-        "- The Realtime Model Transcription quality matches or surpasses that of the transcription model in various turns.\n",
+        "- The Realtime Model Transcription quality matches or surpasses that of the transcription model in various turns. In one of the turns, the transcription model misses \"this is important.\" while the realtime transcription gets it correctly.\n",
         "- The realtime model correctly applies rules for Policy Number formatting (XXXX-XXXX).\n",
         "- With context from the entire session, including previous turns where I spelled out my name, the realtime model accurately transcribes my name when the assistant asked my name again while the transcription model makes errors (e.g., \"Minhaj ul Haq\")."
       ]