mlsanityData to 7 Oct 2026

ADD 2022: the First Audio Deep Synthesis Detection Challenge

arXiv 2202.08433 ↗First posted 17 Feb 2022cs.SD cs.LG eess.AScited by 94

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Abstract (arXiv)

Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021. However, the recent shared tasks have not covered many real-life and challenging scenarios. The first Audio Deep synthesis Detection challenge (ADD) was motivated to fill in the gap. The ADD 2022 includes three tracks: low-quality fake audio detection (LF), partially fake audio detection (PF) and audio fake game (FG). The LF track focuses on dealing with bona fide and fully fake utterances with various real-world noises etc. The PF track aims to distinguish the partially fake audio from the real. The FG track is a rivalry game, which includes two tasks: an audio generation task and an audio fake detection task. In this paper, we describe the datasets, evaluation metrics, and protocols. We also report major findings that reflect the recent advances in audio deepfake detection tasks.

Key facts. Cited by 94 papers in the map (data through 7 Oct 2026). Builds on 14 of its 20 references that are in the map. First posted on arXiv 17 Feb 2022.

Builds on

14 of 20 references.

References · 14

  1. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 800
  2. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 487
  3. 2017AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baselinecited by 364
  4. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 257
  5. 2019ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detectioncited by 173
  6. 2021ASVspoof 2021: accelerating progress in spoofed and deepfake speech detectioncited by 157
  7. 2020AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselinescited by 111
  8. 2021AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenariocited by 58
  9. 2021Half-Truth: A Partially Fake Audio Detection Datasetcited by 44
  10. 2021Continual Learning for Fake Audio Detectioncited by 27
  11. 2020DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voicescited by 24
  12. 2020Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attackscited by 23
2 more
  1. 2020Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveformscited by 12
  2. 2021DFGC 2021: A DeepFake Game Competitioncited by 4

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Citing papers per year: 2022: 10; 2023: 14; 2024: 26; 2025: 14; 2026: 30.

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  1. 2023AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Datasetcited by 79
  2. 2024The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audiocited by 31
  3. 2024SpoofCeleb: Speech Deepfake Detection and SASV In The Wildcited by 22
  4. 2025Speech DF Arena: A Leaderboard for Speech DeepFake Detection Modelscited by 20
  5. 2025ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detectioncited by 17
  6. 2023What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detectioncited by 15
  7. 2024Leveraging Mixture of Experts for Improved Speech Deepfake Detectioncited by 14
  8. 2022An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audiocited by 12
  9. 2023FSD: An Initial Chinese Dataset for Fake Song Detectioncited by 12
  10. 2023Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detectioncited by 11
  11. 2024Cross-Domain Audio Deepfake Detection: Dataset and Analysiscited by 11
  12. 2024Where are we in audio deepfake detection? A systematic analysis over generative and detection modelscited by 11
38 more
  1. 2022Fully Automated End-to-End Fake Audio Detectioncited by 10
  2. 2023Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Featurescited by 10
  3. 2023An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detectioncited by 10
  4. 2024How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?cited by 10
  5. 2024Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlookcited by 10
  6. 2024CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learningcited by 9
  7. 2024Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanismcited by 9
  8. 2022Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Featurescited by 8
  9. 2023The defender's perspective on automatic speaker verification: An overviewcited by 8
  10. 2025Forensic deepfake audio detection using segmental speech featurescited by 8
  11. 2022An Overview of Recent Work in Media Forensics: Methods and Threatscited by 7
  12. 2025Multilingual Source Tracing of Speech Deepfakes: A First Benchmarkcited by 7
  13. 2022Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Reviewcited by 6
  14. 2023Collaborative Watermarking for Adversarial Speech Synthesiscited by 6
  15. 2022SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detectioncited by 5
  16. 2023Range-Based Equal Error Rate for Spoof Localizationcited by 5
  17. 2023Adaptive Fake Audio Detection with Low-Rank Model Squeezingcited by 5
  18. 2024Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategycited by 5
  19. 2024Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audiocited by 5
  20. 2024Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Modelscited by 5
  21. 2024VoiceWukong: Benchmarking Deepfake Voice Detectioncited by 5
  22. 2024Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysiscited by 5
  23. 2024Region-Based Optimization in Continual Learning for Audio Deepfake Detectioncited by 5
  24. 2025SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysiscited by 5
  25. 2026TRACE: Training-Free Partial Audio Deepfake Detection via Embedding Trajectory Analysis of Speech Foundation Modelscited by 5
  26. 2023Catch You and I Can: Revealing Source Voiceprint Against Voice Conversioncited by 4
  27. 2024Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signalscited by 4
  28. 20241M-Deepfakes Detection Challengecited by 4
  29. 2024Passive Deepfake Detection Across Multi-modalities: A Comprehensive Surveycited by 4
  30. 2025Can Emotion Fool Anti-spoofing?cited by 4
  31. 2026Do Compact SSL Backbones Matter for Audio Deepfake Detection? A Controlled Study with RAPTORcited by 4
  32. 2024Generalizing Speaker Verification for Spoof Awareness in the Embedding Spacecited by 3
  33. 2024Spoof Diarization: "What Spoofed When" in Partially Spoofed Audiocited by 3
  34. 2024A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detectioncited by 3
  35. 2024Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesiscited by 3
  36. 2026Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environmentscited by 3
  37. 2026AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plancited by 3
  38. 2022Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent spacecited by 2

50 most cited of 94 All 94 (JSON)