mlsanityData to 19 Oct 2026

Speaker recognition and diarization

832 papers2 this weekHigh confidence in this grouping: the papers form one clear topicHigh confidence in this grouping: the papers form one clear topic · About

Keywords: speaker, diarization, verification, speaker verification, speaker diarization

Key facts. Speaker recognition and diarization: 832 papers on arXiv since 2021 (data through 19 Oct 2026). 131 of its 832 mapped papers (16%) cite “A Review of Speaker Diarization: Recent Advances with Deep Learning” (2021, arXiv 2101.09624). 11 new papers 2 Oct–19 Oct.

What’s new

2 Oct – 19 Oct 2026

11 new papers, 2 Oct – 19 Oct; 2 this week.

  1. This week · 2
  2. Manifold-Constrained Residual Adaptation with Frame-Adaptive Layer Aggregation for Speaker Verification
  3. MS-Bench: A Condition-Stratified Multi-Speaker ASR Benchmark also fits: ASR evaluation, bias and atypical speech
  4. Earlier · 9
  5. Learning Speaker-Activity-Conditioned WavLM Speaker Embeddings with Real Conversational Data
  6. Anuvani-Diarization: Zero Shot Speaker Diarization and Annotation Conventions Across 22 Languages
  7. Unsupervised Cross-device Speaker Diarization And Linking Through Spatiotemporal Structure
  8. OpenSVBench: Diagnosing Speaker Verification Generalization Across Deployment Scenarios also fits: Audio language models and spoken dialogue
  9. Toward accurate speaker inventories for online speaker diarization
  10. Cross-Lingual Speaker Verification with Self-Supervised Pre-Trained Models
  11. Revisiting Label-Free Speaker Embedding Enhancement with vMF Profile Likelihood
  12. SepRQ : Self-Supervised Speech Mixture Representation Learning via Mask-Free, Multi-Scale Source Separation
All 11
  1. FASTDIAR: Frame-level speaker encoder for Streaming Diarization

Foundations

Most cited by papers here

  1. A Review of Speaker Diarization: Recent Advances with Deep Learning2021cited by 131 here
  2. M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge2021cited by 97 here
  3. Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit2022cited by 60 here
  4. MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification2022cited by 51 here
  5. CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking2023cited by 50 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2021A Review of Speaker Diarization: Recent Advances with Deep Learningcited by 131 here
  2. 2021Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphonecited by 25 here
  3. 2022Streaming Multi-Talker ASR with Token-Level Serialized Output Trainingcited by 42 here
  4. 2023The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarioscited by 35 here
  5. 2024NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcriptioncited by 36 here
  6. 2024Leveraging Self-Supervised Learning for Speaker Diarizationcited by 33 here
18 more it builds on, not in this chain
  1. 2021ECAPA-TDNN Embeddings for Speaker Diarizationcited by 26 here
  2. 2021End-to-End Speaker-Attributed ASR with Transformercited by 40 here
  3. 2021Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verificationcited by 34 here
  4. 2021AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenariocited by 76 here
  5. 2021End-to-end speaker segmentation for overlap-aware resegmentationcited by 32 here
  6. 2021Advances in integration of end-to-end neural and clustering-based diarization for real conversational speechcited by 47 here
  7. 2021The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021cited by 32 here
  8. 2021Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detectioncited by 28 here
  9. 2021Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASRcited by 36 here
  10. 2021Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verificationcited by 37 here
  11. 2021M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challengecited by 97 here
  12. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 162 here
  13. 2022MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verificationcited by 51 here
  14. 2022Target-Speaker Voice Activity Detection via Sequence-to-Sequence Predictioncited by 26 here
  15. 2022Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkitcited by 60 here
  16. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 97 here
  17. 2023CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Maskingcited by 50 here
  18. 2023Powerset multi-class cross entropy loss for neural speaker diarizationcited by 43 here

The 24 most cited of 1,053.

Browse

30 of 832, ranked 6–35

  1. 6Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech202147
  2. 7Powerset multi-class cross entropy loss for neural speaker diarization202343
  3. 8Streaming Multi-Talker ASR with Token-Level Serialized Output Training202242
  4. 9End-to-End Speaker-Attributed ASR with Transformer202140
  5. 10Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification202137
  6. 11NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription202436
  7. 12Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR202136
  8. 13The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios202335
  9. 14Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification202134
  10. 15Leveraging Self-Supervised Learning for Speaker Diarization202433
All 30
  1. 16End-to-end speaker segmentation for overlap-aware resegmentation202132
  2. 17The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021202132
  3. 18Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection202128
  4. 19Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction202226
  5. 20ECAPA-TDNN Embeddings for Speaker Diarization202126
  6. 21From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization202225
  7. 22Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone202125
  8. 23Reshape Dimensions Network for Speaker Recognition202424
  9. 24Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings202224
  10. 25MFA: TDNN with Multi-scale Frequency-channel Attention for Text-independent Speaker Verification with Short Utterances202223
  11. 26Simple Attention Module based Speaker Verification with Iterative noisy label detection202123
  12. 27Pushing the limits of raw waveform speaker recognition202222
  13. 28VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark202421
  14. 29Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization202221
  15. 30Adapting self-supervised models to multi-talker speech recognition using speaker embeddings202221
  16. 31Target-speaker Voice Activity Detection with Improved I-Vector Estimation for Unknown Number of Speaker202121
  17. 32The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge202121
  18. 33Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach202320
  19. 34Self-supervised Speaker Recognition with Loss-gated Learning202120
  20. 35TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context202120