Left gets fewer words wrong. Lower has the final text ready sooner.
Reson8 Rumble-2 is ahead of Google Chirp 3 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.
Reson8 Rumble-2 is more accurate on the public clips. On the 1,000 public Pipecat clips, Google Chirp 3 scores 2.76% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.70 points. On the 300 licensed Ocular turns, Google Chirp 3 scores 2.00% and Reson8 Rumble-2 1.69%, with likely ranges of 1.77 to 2.25% 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, Google Chirp 3 scores 2.76% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.70 points. On the 300 licensed Ocular turns, Google Chirp 3 scores 2.00% and Reson8 Rumble-2 1.69%, with likely ranges of 1.77 to 2.25% 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 3.99s sooner. Google Chirp 3 has the final transcript 4.48s 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 3.99s 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. Google Chirp 3 shows first text after 4.19% and Reson8 Rumble-2 after 2.75%, at the median.
Cekura runs these simulated calls on your agent and scores every one.