Left gets fewer words wrong. Lower has the final text ready sooner.
Reson8 Rumble-2 is ahead of Inworld STT-1 on both datasets together, the Ocular Dataset, time to first text and final-text delay. The Pipecat Dataset is 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.
Reson8 Rumble-2 is more accurate on the public clips. On the 1,000 public Pipecat clips, Inworld STT-1 scores 5.44% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 3.38 points. On the 300 licensed Ocular turns, Inworld STT-1 scores 2.72% and Reson8 Rumble-2 1.69%, with likely ranges of 1.67 to 4.68% and 1.48 to 1.92%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Reson8 Rumble-2 is more accurate on the public clips. On the 1,000 public Pipecat clips, Inworld STT-1 scores 5.44% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 3.38 points. On the 300 licensed Ocular turns, Inworld STT-1 scores 2.72% and Reson8 Rumble-2 1.69%, with likely ranges of 1.67 to 4.68% and 1.48 to 1.92%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
No. Reson8 Rumble-2 finishes the transcript 577ms sooner. Inworld STT-1 has the final transcript 1.06s after the speaker stops and Reson8 Rumble-2 486ms, at the median. Both are measured on the same 206 streamed turns.
Reson8 Rumble-2 finishes the transcript 577ms 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 Reson8 Rumble-2 after 2.75%, at the median, so Reson8 Rumble-2 is 7.86 points lower.
Cekura runs these simulated calls on your agent and scores every one.