Fill in missing Speaker Diarization benchmark values - #108
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Add the Speed Factor and Speaker Count Accuracy values that were left blank in the Speaker Diarization tables for Deepgram, pyannoteAI (precision-3), Sortformer v2.1 and Nemotron 3 Diarization, and recompute the Average rows. Move the Argmax community-1 column to the same 2026-09-22 run as the other Argmax systems so the speed comparison is like-for-like, and note that the pyannoteAI pipeline pins the precision-3 model explicitly.
atiorh
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Sep 24, 2026
EduardoPach
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September 24, 2026 12:39
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What does this PR do?
Adds the information that was still missing from the Speaker Diarization section of
BENCHMARKS.mdafter #107.