Left gets fewer words wrong. Lower has the final text ready sooner.
Inworld STT-1 is ahead on time to first text and final-text delay, and GPT Realtime Whisper on both datasets together. 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 explains how word error rate is measured.
GPT Realtime Whisper is more accurate on the public clips. On the 1,000 public Pipecat clips, Inworld STT-1 scores 5.44% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 2.81 points. On the eight licensed Ocular recordings, Inworld STT-1 scores 2.72% and GPT Realtime Whisper 2.16%, with likely ranges of 1.67 to 4.68% 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.
GPT Realtime Whisper is more accurate on the public clips. On the 1,000 public Pipecat clips, Inworld STT-1 scores 5.44% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 2.81 points. On the eight licensed Ocular recordings, Inworld STT-1 scores 2.72% and GPT Realtime Whisper 2.16%, with likely ranges of 1.67 to 4.68% 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. Inworld STT-1 finishes the transcript 316ms sooner. Inworld STT-1 has the final transcript 1.06s after the speaker stops and GPT Realtime Whisper 1.38s, at the median. Both are measured on the same 206 streamed turns.
Inworld STT-1 finishes the transcript 316ms 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. Inworld STT-1 shows first text after 10.60% and GPT Realtime Whisper after 3.53%, at the median.
Cekura runs these simulated calls on your agent and scores every one.