NVIDIA Nemotron 3.5 Transcribe vs Speechmatics Linden

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Accuracy and speed

Left gets fewer words wrong. Lower has the final text ready sooner. Nemotron 3.5 Transcribe doesn't support streaming, so it is not shown.

Accurate and fast0ms200ms400ms600ms800ms0%2%4%6%8%Words wrong on clean audio (Pipecat WER)
  • Nemotron 3.5 Transcribe1.89%
  • Linden2.46% · 147ms

NVIDIA Nemotron 3.5 Transcribe is ahead of Speechmatics Linden on both datasets together and the Pipecat Dataset. The Ocular Dataset is too close to call.

Last updated Methodology by Dileep Chagam

Who is better at what

Nemotron 3.5 TranscribeLinden
  • Overall WER2.28%2.97%
  • Pipecat Dataset WER1.89%2.46%
  • Ocular Dataset WER3.03%3.93%
  • Time to first textn/a1.19s
  • Final-text delayn/a147ms

Lower is better on every measure. Too close to call means the likely ranges overlap.

Nemotron 3.5 Transcribe vs Linden FAQ

  • NVIDIA Nemotron 3.5 Transcribe is more accurate on both datasets. On the 1,000 public Pipecat clips, NVIDIA Nemotron 3.5 Transcribe scores 2.28% and Speechmatics Linden 2.97%, so NVIDIA Nemotron 3.5 Transcribe makes fewer errors by 0.68 points. On the eight licensed Ocular recordings, NVIDIA Nemotron 3.5 Transcribe scores 1.89% and Speechmatics Linden 2.46%, so NVIDIA Nemotron 3.5 Transcribe makes fewer errors by 0.57 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • They cannot be compared on speed. NVIDIA Nemotron 3.5 Transcribe was tested on whole recordings rather than a live stream, so its speed is not measured.

  • NVIDIA Nemotron 3.5 Transcribe makes fewer errors on real conversations. NVIDIA Nemotron 3.5 Transcribe was tested on whole recordings rather than a live stream, so its speed is not measured. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.

  • NVIDIA Nemotron 3.5 Transcribe was tested on whole recordings rather than a live stream, so whether it streams partial text was not measured. Speechmatics Linden returns partial text before the speaker stops.

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