mlsanityData to 14 Oct 2026

Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge

arXiv 2410.07379 ↗First posted 9 Oct 2024eess.AS cs.AI cs.CLcited by 6

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Abstract (arXiv)

Audio deepfake detection is crucial to combat the malicious use of AI-synthesized speech. Among many efforts undertaken by the community, the ASVspoof challenge has become one of the benchmarks to evaluate the generalizability and robustness of detection models. In this paper, we present Reality Defender's submission to the ASVspoof5 challenge, highlighting a novel pretraining strategy which significantly improves generalizability while maintaining low computational cost during training. Our system SLIM learns the style-linguistics dependency embeddings from various types of bonafide speech using self-supervised contrastive learning. The learned embeddings help to discriminate spoof from bonafide speech by focusing on the relationship between the style and linguistics aspects. We evaluated our system on ASVspoof5, ASV2019, and In-the-wild. Our submission achieved minDCF of 0.1499 and EER of 5.5% on ASVspoof5 Track 1, and EER of 7.4% and 10.8% on ASV2019 and In-the-wild respectively.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 21 of its 36 references that are in the map. First posted on arXiv 9 Oct 2024.

Builds on

21 of 36 references.

References · 21

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  2. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,657
  3. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
  4. 2022data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Languagecited by 727
  5. 2021NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasetscited by 192
  6. 2021AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networkscited by 180
  7. 2022Comparative layer-wise analysis of self-supervised speech modelscited by 158
  8. 2022Does Audio Deepfake Detection Generalize?cited by 135
  9. 2022ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wildcited by 121
  10. 2022Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationcited by 117
  11. 2021TorchAudio: Building Blocks for Audio and Speech Processingcited by 83
  12. 2021RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofingcited by 67
9 more
  1. 2023Audio Deepfake Detection: A Surveycited by 50
  2. 2022The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challengecited by 35
  3. 2022Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speechcited by 31
  4. 2022Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoderscited by 20
  5. 2024A robust audio deepfake detection system via multi-view featurecited by 19
  6. 2023Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?cited by 17
  7. 2024Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study on Speech Emotion Recognitioncited by 8
  8. 2024SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detectioncited by 8
  9. 2024Experimental Study: Enhancing Voice Spoofing Detection Models with wav2vec 2.0cited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 6.

6 papers.

  1. 2026An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasurescited by 1
  2. 2026RAT: Reference-Augmented Training for ASV Anti-Spoofingcited by 0
  3. 2026Supervised Post-training of Speech Foundation Models for Robust Adaptation in Speech Deepfake Detectioncited by 0
  4. 2026Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detectioncited by 0
  5. 2026Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?cited by 0
  6. 2026QBFF: Deep Quantum Bottleneck for Automatic Speaker Verification Anti-Spoofingcited by 0