mlsanityData to 14 Oct 2026

VoxCeleb2: Deep Speaker Recognition

arXiv 1806.05622 ↗First posted 14 Jun 2018cs.SD cs.CV eess.AScited by 875

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Cited by 43 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

The objective of this paper is speaker recognition under noisy and unconstrained conditions. We make two key contributions. First, we introduce a very large-scale audio-visual speaker recognition dataset collected from open-source media. Using a fully automated pipeline, we curate VoxCeleb2 which contains over a million utterances from over 6,000 speakers. This is several times larger than any publicly available speaker recognition dataset. Second, we develop and compare Convolutional Neural Network (CNN) models and training strategies that can effectively recognise identities from voice under various conditions. The models trained on the VoxCeleb2 dataset surpass the performance of previous works on a benchmark dataset by a significant margin.

Key facts. Cited by 875 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Jun 2018.

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Citing papers per year: 2019: 1; 2020: 0; 2021: 122; 2022: 160; 2023: 163; 2024: 164; 2025: 147; 2026: 118.

875 papers.

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  1. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,657
  2. 2021Ego4D: Around the World in 3,000 Hours of Egocentric Videocited by 1,556
  3. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 406
  4. 2021Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representationcited by 288
  5. 2022Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Predictioncited by 287
  6. 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 278
  7. 2022EMOCA: Emotion Driven Monocular Face Capture and Animationcited by 255
  8. 2022CelebV-HQ: A Large-Scale Video Facial Attributes Datasetcited by 250
  9. 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
  10. 2024VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Timecited by 187
  11. 2021FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Datasetcited by 181
  12. 2022VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolutioncited by 176
38 more
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  3. 2021ASVspoof 2021: accelerating progress in spoofed and deepfake speech detectioncited by 161
  4. 2022MegaPortraits: One-shot Megapixel Neural Head Avatarscited by 131
  5. 2022Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detectioncited by 130
  6. 2021ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysiscited by 126
  7. 2021Textless Speech-to-Speech Translation on Real Datacited by 121
  8. 2022Realistic One-shot Mesh-based Head Avatarscited by 119
  9. 2022Coverage-centric Coreset Selection for High Pruning Ratescited by 117
  10. 2021VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistencycited by 114
  11. 2023Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labelscited by 114
  12. 2022Generating Long Videos of Dynamic Scenescited by 113
  13. 2023CelebV-Text: A Large-Scale Facial Text-Video Datasetcited by 104
  14. 2023Joint Audio and Speech Understandingcited by 100
  15. 2023Emotional Speech-Driven Animation with Content-Emotion Disentanglementcited by 98
  16. 2024Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesiscited by 97
  17. 2022Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesiscited by 93
  18. 2023StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generatorcited by 89
  19. 2021One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learningcited by 87
  20. 2024Recent Advances in Speech Language Models: A Surveycited by 87
  21. 2022Self-Supervised Learning for Videos: A Surveycited by 85
  22. 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detectioncited by 85
  23. 2021Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidancecited by 84
  24. 2024The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speechcited by 83
  25. 2023Efficient Emotional Adaptation for Audio-Driven Talking-Head Generationcited by 81
  26. 2023AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Datasetcited by 80
  27. 2024EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesiscited by 80
  28. 2024Detecting Multimedia Generated by Large AI Models: A Surveycited by 76
  29. 2022Robust Self-Supervised Audio-Visual Speech Recognitioncited by 75
  30. 2024Sonic: Shifting Focus to Global Audio Perception in Portrait Animationcited by 72
  31. 2022MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptationcited by 69
  32. 2023One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Fieldcited by 68
  33. 2021Responsive Listening Head Generation: A Benchmark Dataset and Baselinecited by 67
  34. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 67
  35. 2024Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Controlcited by 67
  36. 2024EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatarscited by 66
  37. 2022Audio Self-supervised Learning: A Surveycited by 65
  38. 2024Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizercited by 64

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