Speaker Diarization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

15 leaderboard tables shown for this task, 12 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 15 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

11 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 93 papers with code (328 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• AVA-AVD: Audio-Visual Speaker Diarization in the Wild
  29 Nov 2021 9 repositories listed
  Audio-visual speaker diarization aims at detecting "who spoke when" using both auditory and visual signals.
• AVA-AVD: Audio-Visual Speaker Diarization in the Wild
  29 Nov 2021 9 repositories listed
  Audio-visual speaker diarization aims at detecting "who spoke when" using both auditory and visual signals.
• Speaker Diarization with LSTM
  28 Oct 2017 4 repositories listed
  For many years, i-vector based audio embedding techniques were the dominant approach for speaker verification and speaker diarization applications.
• Speaker Diarization with LSTM
  28 Oct 2017 4 repositories listed
  For many years, i-vector based audio embedding techniques were the dominant approach for speaker verification and speaker diarization applications.
• Speech Emotion Diarization: Which Emotion Appears When?
  22 Jun 2023 3 repositories listed
  Speech Emotion Recognition (SER) typically relies on utterance-level solutions.
• Speech Emotion Diarization: Which Emotion Appears When?
  22 Jun 2023 3 repositories listed
  Speech Emotion Recognition (SER) typically relies on utterance-level solutions.
• The Third DIHARD Diarization Challenge
  2 Dec 2020 3 repositories listed
  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.
• The Third DIHARD Diarization Challenge
  2 Dec 2020 3 repositories listed
  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.
• End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
  20 May 2020 3 repositories listed Syntology ran 0 of 21 samples · 21 unverified
  End-to-end speaker diarization for an unknown number of speakers is addressed in this paper.
• End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
  20 May 2020 3 repositories listed Syntology ran 0 of 21 samples · 21 unverified
  End-to-end speaker diarization for an unknown number of speakers is addressed in this paper.
• Speech Recognition and Multi-Speaker Diarization of Long Conversations
  16 May 2020 3 repositories listed
  Speech recognition (ASR) and speaker diarization (SD) models have traditionally been trained separately to produce rich conversation transcripts with speaker labels.
• Speech Recognition and Multi-Speaker Diarization of Long Conversations
  16 May 2020 3 repositories listed
  Speech recognition (ASR) and speaker diarization (SD) models have traditionally been trained separately to produce rich conversation transcripts with speaker labels.
• pyannote.audio: neural building blocks for speaker diarization
  4 Nov 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We introduce pyannote.
• pyannote.audio: neural building blocks for speaker diarization
  4 Nov 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We introduce pyannote.
• 3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization
  29 Mar 2024 2 repositories listed
  With 3D-Speaker-Toolkit, we establish a new benchmark for multimodal speaker analysis.
• 3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization
  29 Mar 2024 2 repositories listed
  With 3D-Speaker-Toolkit, we establish a new benchmark for multimodal speaker analysis.
• DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
  7 Jan 2024 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  In this paper, we introduce DiarizationLM, a framework to leverage large language models (LLM) to post-process the outputs from a speaker diarization system.
• DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
  7 Jan 2024 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  In this paper, we introduce DiarizationLM, a framework to leverage large language models (LLM) to post-process the outputs from a speaker diarization system.
• Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
  7 Jun 2023 2 repositories listed
  In order to tackle both clip-level and frame-level tasks, this paper proposes Audio Teacher-Student Transformer (ATST), with a clip-level version (named ATST-Clip) and a frame-level version (named ATST-Frame),…
• Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
  7 Jun 2023 2 repositories listed
  In order to tackle both clip-level and frame-level tasks, this paper proposes Audio Teacher-Student Transformer (ATST), with a clip-level version (named ATST-Clip) and a frame-level version (named ATST-Frame),…
• BER: Balanced Error Rate For Speaker Diarization
  8 Nov 2022 2 repositories listed
  DER is the primary metric to evaluate diarization performance while facing a dilemma: the errors in short utterances or segments tend to be overwhelmed by longer ones.
• BER: Balanced Error Rate For Speaker Diarization
  8 Nov 2022 2 repositories listed
  DER is the primary metric to evaluate diarization performance while facing a dilemma: the errors in short utterances or segments tend to be overwhelmed by longer ones.
• PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit
  20 May 2022 2 repositories listed
  PaddleSpeech is an open-source all-in-one speech toolkit.
• From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization
  2 Apr 2022 2 repositories listed
  However, simulated mixtures do not resemble real conversations in many aspects.
• From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization
  2 Apr 2022 2 repositories listed
  However, simulated mixtures do not resemble real conversations in many aspects.
• Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information
  28 Nov 2021 2 repositories listed
  In this paper, we reformulate this task as a single-label prediction problem by encoding the multi-speaker labels with power set.
• BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications
  12 Oct 2021 2 repositories listed
  We propose a system that combines SAD and a BERT model to perform speaker change detection and speaker role detection (SRD) by chunking ASR transcripts, i.
• BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications
  12 Oct 2021 2 repositories listed
  We propose a system that combines SAD and a BERT model to perform speaker change detection and speaker role detection (SRD) by chunking ASR transcripts, i.
• TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
  8 Oct 2021 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we propose TitaNet, a novel neural network architecture for extracting speaker representations.
• TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
  8 Oct 2021 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we propose TitaNet, a novel neural network architecture for extracting speaker representations.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.