Left gets fewer words wrong. Lower has the final text ready sooner.
Speechmatics Linden is ahead on time to first text and final-text delay, and Reson8 on both datasets together. 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. Our guide explains how word error rate is measured.
Reson8 is more accurate on the public clips. On the 1,000 public Pipecat clips, Reson8 scores 2.38% and Speechmatics Linden 2.97%, so Reson8 makes fewer errors by 0.58 points. On the eight licensed Ocular recordings, Reson8 scores 2.10% and Speechmatics Linden 2.46%, with likely ranges of 1.86 to 2.35% and 2.19 to 2.73%. 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 is more accurate on the public clips. On the 1,000 public Pipecat clips, Reson8 scores 2.38% and Speechmatics Linden 2.97%, so Reson8 makes fewer errors by 0.58 points. On the eight licensed Ocular recordings, Reson8 scores 2.10% and Speechmatics Linden 2.46%, with likely ranges of 1.86 to 2.35% and 2.19 to 2.73%. 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. Speechmatics Linden finishes the transcript 1.21s sooner. Reson8 has the final transcript 2.40s after the speaker stops and Speechmatics Linden 1.19s, at the median. Both are measured on the same 206 streamed turns.
Speechmatics Linden finishes the transcript 1.21s 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. Reson8 shows first text after 2.93% and Speechmatics Linden after 3.93%, at the median.
Cekura runs these simulated calls on your agent and scores every one.