Left gets fewer words wrong. Lower has the final text ready sooner.
Smallest Pulse is ahead on time to first text and final-text delay, and Google Chirp 3 on the Pipecat Dataset. The Ocular 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.
Google Chirp 3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Google Chirp 3 scores 2.00% and Smallest Pulse 3.66%, so Google Chirp 3 makes fewer errors by 1.65 points. On the eight licensed Ocular recordings, Google Chirp 3 scores 4.19% and Smallest Pulse 3.46%, with likely ranges of 2.97 to 5.27% and 2.66 to 4.22%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Google Chirp 3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Google Chirp 3 scores 2.00% and Smallest Pulse 3.66%, so Google Chirp 3 makes fewer errors by 1.65 points. On the eight licensed Ocular recordings, Google Chirp 3 scores 4.19% and Smallest Pulse 3.46%, with likely ranges of 2.97 to 5.27% and 2.66 to 4.22%. 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. Smallest Pulse finishes the transcript 274ms sooner. Google Chirp 3 has the final transcript 475ms after the speaker stops and Smallest Pulse 201ms, at the median. Both are measured on the same 206 streamed turns.
Smallest Pulse finishes the transcript 274ms 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 4.48s and Smallest Pulse after 1.06s, at the median, so Smallest Pulse is 3.42s sooner.