Left gets fewer words wrong. Lower has the final text ready sooner.
Speechmatics Linden is ahead of Gradium on the Pipecat Dataset, time to first text and final-text delay. 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.
Speechmatics Linden is more accurate on the public clips. On the 1,000 public Pipecat clips, Gradium scores 6.48% and Speechmatics Linden 2.46%, so Speechmatics Linden makes fewer errors by 4.02 points. On the eight licensed Ocular recordings, Gradium scores 4.45% and Speechmatics Linden 3.93%, with likely ranges of 3.17 to 5.90% and 2.94 to 5.19%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Speechmatics Linden is more accurate on the public clips. On the 1,000 public Pipecat clips, Gradium scores 6.48% and Speechmatics Linden 2.46%, so Speechmatics Linden makes fewer errors by 4.02 points. On the eight licensed Ocular recordings, Gradium scores 4.45% and Speechmatics Linden 3.93%, with likely ranges of 3.17 to 5.90% and 2.94 to 5.19%. 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 65ms sooner. Gradium has the final transcript 212ms after the speaker stops and Speechmatics Linden 147ms, at the median. Both are measured on the same 206 streamed turns.
Speechmatics Linden finishes the transcript 65ms 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. Gradium shows first text after 1.71s and Speechmatics Linden after 1.19s, at the median, so Speechmatics Linden is 515ms sooner.