mlsanityData to 7 Oct 2026

Augmentation through Laundering Attacks for Audio Spoof Detection

arXiv 2410.01108 ↗First posted 1 Oct 2024eess.AS cs.AI cs.SDcited by 0

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Abstract (arXiv)

Recent text-to-speech (TTS) developments have made voice cloning (VC) more realistic, affordable, and easily accessible. This has given rise to many potential abuses of this technology, including Joe Biden's New Hampshire deepfake robocall. Several methodologies have been proposed to detect such clones. However, these methodologies have been trained and evaluated on relatively clean databases. Recently, ASVspoof 5 Challenge introduced a new crowd-sourced database of diverse acoustic conditions including various spoofing attacks and codec conditions. This paper is our submission to the ASVspoof 5 Challenge and aims to investigate the performance of Audio Spoof Detection, trained using data augmentation through laundering attacks, on the ASVSpoof 5 database. The results demonstrate that our system performs worst on A18, A19, A20, A26, and A30 spoofing attacks and in the codec and compression conditions of C08, C09, and C10.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 16 of its 36 references that are in the map. First posted on arXiv 1 Oct 2024.

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References · 16

  1. 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 737
  2. 2022High Fidelity Neural Audio Compressioncited by 673
  3. 2024XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Modelcited by 174
  4. 2021AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networkscited by 173
  5. 2020End-to-end anti-spoofing with RawNet2cited by 160
  6. 2021ASVspoof 2021: accelerating progress in spoofed and deepfake speech detectioncited by 157
  7. 2022Does Audio Deepfake Detection Generalize?cited by 129
  8. 2022ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wildcited by 118
  9. 2021End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detectioncited by 68
  10. 2020One-class Learning Towards Synthetic Voice Spoofing Detectioncited by 59
  11. 2019STC Antispoofing Systems for the ASVspoof2019 Challengecited by 51
  12. 2023Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systemscited by 10
4 more
  1. 2019Towards robust audio spoofing detection: a detailed comparison of traditional and learned featurescited by 6
  2. 2024Is Audio Spoof Detection Robust to Laundering Attacks?cited by 4
  3. 2017Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platformcited by 3
  4. 2023Protecting Voice-Controlled Devices against LASER Injection Attackscited by 1

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