Unverified50% confidenceFactExact time
The Diarization Error Rate (DER) is derived by summing the durations of missed detection errors, false alarm errors, and speaker confusion errors, then dividing by the total actual speech duration; a lower score is better.
1
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50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
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Related Claims
UnverifiedDER does not penalize incorrect prediction of the number of speakers itself; as long as each audio segment is correctly attributed in time, the DER can still be relatively low.79% similarUnverifiedThe latest version of pyannote.audio adopts an end-to-end neural network architecture (EEND), and the diarization error rate (DER) on standard evaluation sets has dropped below 10%.72% similar
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