mlsanityData to 7 Oct 2026

The Third DIHARD Diarization Challenge

arXiv 2012.01477 ↗First posted 2 Dec 2020eess.AS cs.SDcited by 44

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Abstract (arXiv)

DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise conditions, and conversational domain. Speaker diarization was evaluated under two speech activity conditions (diarization from a reference speech activity vs. diarization from scratch) and 11 diverse domains. The domains span a range of recording conditions and interaction types, including read audio-books, meeting speech, clinical interviews, web videos, and, for the first time, conversational telephone speech. A total of 30 organizations (forming 21teams) from industry and academia submitted 499 valid system outputs. The evaluation results indicate that speaker diarization has improved markedly since DIHARD I, particularly for two-party interactions, but that for many domains (e.g., web video) the problem remains far from solved.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2020.

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Citing papers per year: 2021: 11; 2022: 10; 2023: 6; 2024: 8; 2025: 7; 2026: 2.

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  1. 2021Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASRcited by 22
  2. 2021Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractorscited by 14
  3. 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systemscited by 9
  4. 2024Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognitioncited by 9
  5. 2021The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lapcited by 8
  6. 2021Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Networkcited by 8
  7. 2021USTC-NELSLIP System Description for DIHARD-III Challengecited by 7
  8. 2022Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractorscited by 7
  9. 2021Multi-scale speaker embedding-based graph attention networks for speaker diarisationcited by 6
  10. 2022Overlapped speech and gender detection with WavLM pre-trained featurescited by 6
  11. 2023Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarizationcited by 6
  12. 2021DIVE: End-to-end Speech Diarization via Iterative Speaker Embeddingcited by 5
32 more
  1. 2022In search of strong embedding extractors for speaker diarisationcited by 5
  2. 2021Adapting Speaker Embeddings for Speaker Diarisationcited by 4
  3. 2022Large-scale learning of generalised representations for speaker recognitioncited by 4
  4. 2023Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environmentscited by 4
  5. 2022BER: Balanced Error Rate For Speaker Diarizationcited by 3
  6. 2023Neural Diarization with Non-autoregressive Intermediate Attractorscited by 3
  7. 2023DiaCorrect: Error Correction Back-end For Speaker Diarizationcited by 3
  8. 2023Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecturecited by 3
  9. 2024Self-Tuning Spectral Clustering for Speaker Diarizationcited by 3
  10. 2024Mamba-based Segmentation Model for Speaker Diarizationcited by 3
  11. 2025SDBench: A Comprehensive Benchmark Suite for Speaker Diarizationcited by 3
  12. 2024Assessing the Robustness of Spectral Clustering for Deep Speaker Diarizationcited by 2
  13. 2021Shennong: a Python toolbox for audio speech features extractioncited by 1
  14. 2022TSUP Speaker Diarization System for Conversational Short-phrase Speaker Diarization Challengecited by 1
  15. 2022High-resolution embedding extractor for speaker diarisationcited by 1
  16. 2024An Explainable Proxy Model for Multiabel Audio Segmentationcited by 1
  17. 2024End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarizationcited by 1
  18. 2025ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challengecited by 1
  19. 2026MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarizationcited by 1
  20. 2021Domain-Dependent Speaker Diarization for the Third DIHARD Challengecited by 0
  21. 2021Advancing the dimensionality reduction of speaker embeddings for speaker diarisation: disentangling noise and informing speech activitycited by 0
  22. 2022Collar-aware Training for Streaming Speaker Change Detection in Broadcast Speechcited by 0
  23. 2022Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessmentcited by 0
  24. 2022Joint Speech Activity and Overlap Detection with Multi-Exit Architecturecited by 0
  25. 2024Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probingcited by 0
  26. 2024A Review of Common Online Speaker Diarization Methodscited by 0
  27. 2025Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization Challengecited by 0
  28. 2025Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuningcited by 0
  29. 2025Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithmcited by 0
  30. 2025Exploring Speaker Diarization with Mixture of Expertscited by 0
  31. 2025Point of Order: Action-Aware LLM Persona Modeling for Data-Grounded Civic Deliberationcited by 0
  32. 2026Efficiency-Performance Trade-offs in Neural Speaker Diarization via Structured Pruning and Low-Bit Quantizationcited by 0