Speaker recognition and 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.
- This week · 2
- Manifold-Constrained Residual Adaptation with Frame-Adaptive Layer Aggregation for Speaker Verification
- MS-Bench: A Condition-Stratified Multi-Speaker ASR Benchmark also fits: ASR evaluation, bias and atypical speech
- Earlier · 9
- Learning Speaker-Activity-Conditioned WavLM Speaker Embeddings with Real Conversational Data
- Anuvani-Diarization: Zero Shot Speaker Diarization and Annotation Conventions Across 22 Languages
- Unsupervised Cross-device Speaker Diarization And Linking Through Spatiotemporal Structure
- OpenSVBench: Diagnosing Speaker Verification Generalization Across Deployment Scenarios also fits: Audio language models and spoken dialogue
- Toward accurate speaker inventories for online speaker diarization
- Cross-Lingual Speaker Verification with Self-Supervised Pre-Trained Models
- Revisiting Label-Free Speaker Embedding Enhancement with vMF Profile Likelihood
- SepRQ : Self-Supervised Speech Mixture Representation Learning via Mask-Free, Multi-Scale Source Separation
Foundations
Most cited by papers here
- A Review of Speaker Diarization: Recent Advances with Deep Learning2021cited by 131 here
- M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge2021cited by 97 here
- Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit2022cited by 60 here
- MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification2022cited by 51 here
- 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.
- 2021A Review of Speaker Diarization: Recent Advances with Deep Learningcited by 131 here
- 2021Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphonecited by 25 here
- 2022Streaming Multi-Talker ASR with Token-Level Serialized Output Trainingcited by 42 here
- 2023The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarioscited by 35 here
- 2024NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcriptioncited by 36 here
- 2024Leveraging Self-Supervised Learning for Speaker Diarizationcited by 33 here
18 more it builds on, not in this chain
- 2021ECAPA-TDNN Embeddings for Speaker Diarizationcited by 26 here
- 2021End-to-End Speaker-Attributed ASR with Transformercited by 40 here
- 2021Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verificationcited by 34 here
- 2021AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenariocited by 76 here
- 2021End-to-end speaker segmentation for overlap-aware resegmentationcited by 32 here
- 2021Advances in integration of end-to-end neural and clustering-based diarization for real conversational speechcited by 47 here
- 2021The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021cited by 32 here
- 2021Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detectioncited by 28 here
- 2021Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASRcited by 36 here
- 2021Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verificationcited by 37 here
- 2021M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challengecited by 97 here
- 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 162 here
- 2022MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verificationcited by 51 here
- 2022Target-Speaker Voice Activity Detection via Sequence-to-Sequence Predictioncited by 26 here
- 2022Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkitcited by 60 here
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 97 here
- 2023CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Maskingcited by 50 here
- 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
- 6Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech202147
- 7Powerset multi-class cross entropy loss for neural speaker diarization202343
- 8Streaming Multi-Talker ASR with Token-Level Serialized Output Training202242
- 9End-to-End Speaker-Attributed ASR with Transformer202140
- 10Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification202137
- 11NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription202436
- 12Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR202136
- 13The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios202335
- 14Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification202134
- 15Leveraging Self-Supervised Learning for Speaker Diarization202433
All 30
- 16End-to-end speaker segmentation for overlap-aware resegmentation202132
- 17The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021202132
- 18Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection202128
- 19Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction202226
- 20ECAPA-TDNN Embeddings for Speaker Diarization202126
- 21From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization202225
- 22Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone202125
- 23Reshape Dimensions Network for Speaker Recognition202424
- 24Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings202224
- 25MFA: TDNN with Multi-scale Frequency-channel Attention for Text-independent Speaker Verification with Short Utterances202223
- 26Simple Attention Module based Speaker Verification with Iterative noisy label detection202123
- 27Pushing the limits of raw waveform speaker recognition202222
- 28VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark202421
- 29Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization202221
- 30Adapting self-supervised models to multi-talker speech recognition using speaker embeddings202221
- 31Target-speaker Voice Activity Detection with Improved I-Vector Estimation for Unknown Number of Speaker202121
- 32The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge202121
- 33Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach202320
- 34Self-supervised Speaker Recognition with Loss-gated Learning202120
- 35TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context202120