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Third DIHARD Challenge Evaluation Plan

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arxiv 2006.05815 v3 pith:HYGG6K3T submitted 2020-06-04 eess.AS cs.SD

Neville Ryant , Kenneth Church , Christopher Cieri , Jun Du , Sriram Ganapathy , Mark Liberman This is my paper · ORCID
classification eess.AScs.SD
keywords diarizationchallengethirddihardevaluationtrackaudiochallenges
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper introduces the third DIHARD challenge, the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in recording equipment, noise conditions, and conversational domain. The challenge comprises two tracks evaluating diarization performance when starting from a reference speech segmentation (track 1) and diarization from raw audio scratch (track 2). We describe the task, metrics, datasets, and evaluation protocol.

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Cited by 2 Pith papers

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  1. Streaming Sortformer: Speaker Cache-Based Online Speaker Diarization with Arrival-Time Ordering

    eess.AS 2025-07 conditional novelty 6.0 of 10

    A streaming Sortformer with an arrival-ordered speaker cache achieves lower diarization error than prior online systems on DIHARD III and CALLHOME, even at 0.32 second latency.

  2. Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge

    cs.SD 2025-06 conditional novelty 4.0 of 10

    An audio-visual speaker diarization system using cross-attention and self-attention fusion achieves an 8.18% diarization error rate on the MISP 2025 Challenge, a 47.3% relative improvement over the baseline.

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