[–] nomel 1d ago ↗ > Word-level timestamps. Each word has precise start/end times and confidence scores.Neat. This is missing from many models. [–] [deleted] 1d ago ↗ (comment deleted) [–] throwaway89201 1d ago ↗ Mistral STT offers it, which is an open model.
[–] exizt88 1d ago ↗ I don't understand how these benchmarks get things so wrong. Nova-3 is by far the best model on the market in WER. Azure's STT is atrocious. And yet every benchmark rates Azure's STT higher than Nova-3's. [–] mistic92 1d ago ↗ Mai 2 transcribe is giving me better results than nova
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[ 0.81 ms ] story [ 6.7 ms ] threadNeat. This is missing from many models.