Smallest Pulse vs Speechmatics Linden

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Accuracy and speed

Left gets fewer words wrong. Lower has the final text ready sooner.

Accurate and fast0ms200ms400ms600ms800ms0%2%4%6%8%Words wrong on clean audio (Pipecat WER)
  • Pulse3.66% · 201ms
  • Linden2.46% · 147ms

Speechmatics Linden is ahead on both datasets together, the Pipecat Dataset and final-text delay, and Smallest Pulse on time to first text. The Ocular Dataset is too close to call.

Last updated Methodology by Dileep Chagam

Who is better at what

PulseLinden
  • Overall WER3.59%2.97%
  • Pipecat Dataset WER3.66%2.46%
  • Ocular Dataset WER3.46%3.93%
  • Time to first text1.06s1.19s
  • Final-text delay201ms147ms

Lower is better on every measure. Too close to call means the likely ranges overlap. Our guide explains how word error rate is measured.

Pulse vs Linden FAQ

  • Speechmatics Linden is more accurate on both datasets. On the 1,000 public Pipecat clips, Smallest Pulse scores 3.59% and Speechmatics Linden 2.97%, so Speechmatics Linden makes fewer errors by 0.62 points. On the eight licensed Ocular recordings, Smallest Pulse scores 3.66% and Speechmatics Linden 2.46%, so Speechmatics Linden makes fewer errors by 1.20 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • Yes. Smallest Pulse finishes the transcript 133ms sooner. Smallest Pulse has the final transcript 1.06s after the speaker stops and Speechmatics Linden 1.19s, at the median. Both are measured on the same 206 streamed turns.

  • It is a trade-off. Speechmatics Linden makes fewer errors on real conversations, while Smallest Pulse finishes the transcript 133ms sooner. 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. Smallest Pulse shows first text after 3.46% and Speechmatics Linden after 3.93%, at the median.

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