Left gets fewer words wrong. Lower has the final text ready sooner.
Reson8 Rumble-2 is ahead of GPT-4o Transcribe on both datasets together, the Pipecat Dataset, the Ocular Dataset and final-text delay.
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, GPT-4o Transcribe scores 6.85% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 4.80 points. On the 300 licensed Ocular turns, GPT-4o Transcribe scores 3.90% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 2.21 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, GPT-4o Transcribe scores 6.85% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 4.80 points. On the 300 licensed Ocular turns, GPT-4o Transcribe scores 3.90% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 2.21 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Final-text delay was not measured for one or both, so speed cannot be compared. Both are measured on the same 206 streamed turns.
Reson8 Rumble-2 makes fewer errors on real conversations, and the two are not separated on speed. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Only Reson8 Rumble-2. GPT-4o Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.
Cekura runs these simulated calls on your agent and scores every one.