Left gets fewer words wrong. Lower has the final text ready sooner.
Fish Audio Transcribe Stream 1 is ahead of GPT Realtime Whisper on both datasets together, time to first text and final-text delay. The Pipecat Dataset and The Ocular Dataset are too close to call.
Last updated Methodology by Dileep Chagam
Lower is better on every measure. Too close to call means the likely ranges overlap. Our guide covers testing OpenAI Realtime API voice agents.
Fish Audio Transcribe Stream 1 is more accurate on the public clips. On the 1,000 public Pipecat clips, Fish Audio Transcribe Stream 1 scores 2.21% and GPT Realtime Whisper 2.63%, so Fish Audio Transcribe Stream 1 makes fewer errors by 0.42 points. On the eight licensed Ocular recordings, Fish Audio Transcribe Stream 1 scores 1.90% and GPT Realtime Whisper 2.16%, with likely ranges of 1.68 to 2.14% and 1.92 to 2.41%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Fish Audio Transcribe Stream 1 is more accurate on the public clips. On the 1,000 public Pipecat clips, Fish Audio Transcribe Stream 1 scores 2.21% and GPT Realtime Whisper 2.63%, so Fish Audio Transcribe Stream 1 makes fewer errors by 0.42 points. On the eight licensed Ocular recordings, Fish Audio Transcribe Stream 1 scores 1.90% and GPT Realtime Whisper 2.16%, with likely ranges of 1.68 to 2.14% and 1.92 to 2.41%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Fish Audio Transcribe Stream 1 finishes the transcript 649ms sooner. Fish Audio Transcribe Stream 1 has the final transcript 730ms after the speaker stops and GPT Realtime Whisper 1.38s, at the median. Both are measured on the same 206 streamed turns.
Fish Audio Transcribe Stream 1 finishes the transcript 649ms sooner, and the two are too close to call on real conversations. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Yes, both return partial text before the speaker stops. Fish Audio Transcribe Stream 1 shows first text after 2.78% and GPT Realtime Whisper after 3.53%, at the median.
Cekura runs these simulated calls on your agent and scores every one.