Left gets fewer words wrong. Lower has the final text ready sooner.
Reson8 Rumble-2 is ahead of Google Chirp 2 on both datasets together, the Pipecat Dataset, time to first text and final-text delay. The Ocular Dataset is too close to call. Google Chirp 2 has a newer release: Google Chirp 3 vs Reson8 Rumble-2.
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 both datasets. On the 1,000 public Pipecat clips, Google Chirp 2 scores 3.01% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.95 points. On the 300 licensed Ocular turns, Google Chirp 2 scores 2.59% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 0.90 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Reson8 Rumble-2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Google Chirp 2 scores 3.01% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.95 points. On the 300 licensed Ocular turns, Google Chirp 2 scores 2.59% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 0.90 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
No. Reson8 Rumble-2 finishes the transcript 4.01s sooner. Google Chirp 2 has the final transcript 4.50s after the speaker stops and Reson8 Rumble-2 486ms, at the median. Both are measured on the same 206 streamed turns.
Reson8 Rumble-2 is the stronger pick for voice agents: it makes fewer errors on real conversations and finishes the transcript 4.01s sooner. 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 2 shows first text after 3.80% and Reson8 Rumble-2 after 2.75%, at the median.
Cekura runs these simulated calls on your agent and scores every one.