Latest Research in Sound

43 research papers · 2026 median publication year

Top Research Topics in Sound

Highest-Cited Papers

  1. Vauxguard: Zero-Shot LLM-Mediated Interpretable Acoustic Forensics for Synthetic Speech Detection
  2. Vauxguard: Zero-Shot LLM-Mediated Interpretable Acoustic Forensics for Synthetic Speech Detection
  3. Reconstruction history, not synthesis: benign processing moves frozen detectors on genuine human speech
  4. A geometry-aware deep learning framework for detecting diffusion-era synthetic speech in digital security applications
  5. Reconstruction history, not synthesis: benign processing moves frozen detectors on genuine human speech
  6. CoRELoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection
  7. Robust Workflow Generation via Adversarial Learning for Audio Deepfake Detection
  8. ML-ITW: A Multilingual in-the-wild Benchmark for Speech Deepfake Detection
  9. Language Orthogonalization for Zero-Shot Cross-Lingual Audio Deepfake Detection
  10. Impact Analysis of Speech Representation Learning Models for Acoustic Side-Channel Attack
  11. Graph Attention Design Choices Matter: A Controlled Study of LoRA-Adapted Audio Anti-Spoofing
  12. Speech Generation Speaker Poisoning: Capability Erasure in Zero-Shot Text-to-Speech
  13. Cloned Voices, Real Consequences: Evaluating Bias in Political Deepfake Detection for Electoral Integrity in Brazil
  14. CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection
  15. From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection
  16. Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
  17. A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems
  18. Domain-Incremental Learning for Multi-Channel Replay Speech Detection
  19. Not All Attacks Are Learned Equally in Speech Deepfake Detection
  20. Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations
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L3 Region - - 2026 Sep Q3

Sound

43 papers

Top Topics (6)

Sound24
Audio and Speech Processing8
Speech Recognition and Synthesis5
Cryptography and Security3
Memory Processes and Influences2
Speech and Audio Processing1

Top Publications (20)

1.Vauxguard: Zero-Shot LLM-Mediated Interpretable Acoustic Forensics for Synthetic Speech Detection2.Vauxguard: Zero-Shot LLM-Mediated Interpretable Acoustic Forensics for Synthetic Speech Detection3.Reconstruction history, not synthesis: benign processing moves frozen detectors on genuine human speech4.A geometry-aware deep learning framework for detecting diffusion-era synthetic speech in digital security applications5.Reconstruction history, not synthesis: benign processing moves frozen detectors on genuine human speech6.CoRELoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection7.Robust Workflow Generation via Adversarial Learning for Audio Deepfake Detection8.ML-ITW: A Multilingual in-the-wild Benchmark for Speech Deepfake Detection9.Language Orthogonalization for Zero-Shot Cross-Lingual Audio Deepfake Detection10.Impact Analysis of Speech Representation Learning Models for Acoustic Side-Channel Attack11.Graph Attention Design Choices Matter: A Controlled Study of LoRA-Adapted Audio Anti-Spoofing12.Speech Generation Speaker Poisoning: Capability Erasure in Zero-Shot Text-to-Speech13.Cloned Voices, Real Consequences: Evaluating Bias in Political Deepfake Detection for Electoral Integrity in Brazil14.CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection15.From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection16.Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems17.A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems18.Domain-Incremental Learning for Multi-Channel Replay Speech Detection19.Not All Attacks Are Learned Equally in Speech Deepfake Detection20.Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations
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