Google vs Reson8
Reson8 is ahead of Google 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
Who is better at what
Each row sets Google's best model against Reson8's best on that measure.
- Overall WER2.76%Google Chirp 32.05%Reson8 Rumble-2
- Pipecat Dataset WER2.00%Google Chirp 31.69%Reson8 Rumble-2
- Ocular Dataset WER3.80%Google Chirp 22.75%Reson8 Rumble-2
- Time to first text4.48sGoogle Chirp 3486msReson8 Rumble-2
- Final-text delay475msGoogle Chirp 318msReson8 Rumble-2
Google vs Reson8 FAQ
Is Google or Reson8 better for speech-to-text?
It is too close to call: the gap is inside the margin of error. The best Google result is Google Chirp 3 at 2.00%, and the best Reson8 result is Reson8 Rumble-2 at 1.69%, on the Pipecat Dataset.
It is too close to call: the gap is inside the margin of error. The best Google result is Google Chirp 3 at 2.00%, and the best Reson8 result is Reson8 Rumble-2 at 1.69%, on the Pipecat Dataset.
Reson8 is faster, 457ms sooner. The best Google result is Google Chirp 3 at 475ms, and the best Reson8 result is Reson8 Rumble-2 at 18ms, on final-text delay.
Google: Google Chirp 2, Google Chirp 3. Reson8: Reson8 Resonant-1, Reson8 Rumble-2. Every model ran the same tests on Converse-STT.
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