Left gets fewer words wrong. Lower has the final text ready sooner.
Fish Audio Transcribe Stream 1 is ahead on both datasets together and final-text delay, and AssemblyAI Universal 3.5 Pro on time to first text. The Pipecat Dataset and The Ocular Dataset are too close to call. AssemblyAI Universal 3.5 Pro has a newer release: AssemblyAI Universal 3.6 Pro vs Fish Audio Transcribe Stream 1.
Last updated Methodology by Dileep Chagam
Lower is better on every measure. Too close to call means the likely ranges overlap. For costs, see our breakdown of AssemblyAI pricing.
Fish Audio Transcribe Stream 1 is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 2.72% and Fish Audio Transcribe Stream 1 2.21%, so Fish Audio Transcribe Stream 1 makes fewer errors by 0.52 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 1.93% and Fish Audio Transcribe Stream 1 1.90%, with likely ranges of 1.69 to 2.18% and 1.68 to 2.14%. 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, AssemblyAI Universal 3.5 Pro scores 2.72% and Fish Audio Transcribe Stream 1 2.21%, so Fish Audio Transcribe Stream 1 makes fewer errors by 0.52 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 1.93% and Fish Audio Transcribe Stream 1 1.90%, with likely ranges of 1.69 to 2.18% and 1.68 to 2.14%. 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. AssemblyAI Universal 3.5 Pro finishes the transcript 241ms sooner. AssemblyAI Universal 3.5 Pro has the final transcript 489ms after the speaker stops and Fish Audio Transcribe Stream 1 730ms, at the median. Both are measured on the same 206 streamed turns.
AssemblyAI Universal 3.5 Pro finishes the transcript 241ms 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. AssemblyAI Universal 3.5 Pro shows first text after 4.23% and Fish Audio Transcribe Stream 1 after 2.78%, at the median.
Cekura runs these simulated calls on your agent and scores every one.