mlsanityData to 7 Oct 2026

SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation

arXiv 2607.04848 ↗First posted 6 Jul 2026cs.SD cs.AIcited by 0

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Abstract (arXiv)

While audio deepfake detection has advanced significantly, representative detectors show limited generalization to synthetic sound effects. Existing environmental audio datasets such as EnvSDD provide important initial resources, but remain limited in scale and generation provenance for studying isolated sound-effect deepfakes. To support this direction, we present SynSFX, a large-scale corpus of 43374 clips (26452 synthetic, 16922 real) spanning 7 popular text-to-audio models.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 22 of its 29 references that are in the map. First posted on arXiv 6 Jul 2026.

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22 of 29 references.

References · 22

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  4. 2023AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretrainingcited by 343
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  11. 2021AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networkscited by 173
  12. 2024MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesiscited by 134
10 more
  1. 2023Audiobox: Unified Audio Generation with Natural Language Promptscited by 120
  2. 2022ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wildcited by 118
  3. 2021WaveFake: A Data Set to Facilitate Audio Deepfake Detectioncited by 78
  4. 2024TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimizationcited by 67
  5. 2021ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plancited by 18
  6. 2025EnvSDD: Benchmarking Environmental Sound Deepfake Detectioncited by 11
  7. 2025TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretrainingcited by 9
  8. 2025CompSpoof: A Dataset and Joint Learning Framework for Component-Level Audio Anti-spoofing Countermeasurescited by 5
  9. 2023TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detectioncited by 4
  10. 2026Overview of ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challengecited by 4

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