The Vulnerability of Neural Audio Watermarks under Speech Enhancement
cs.SD, cs.CR
Submitted: 2026-09-24
Updated: 2026-09-24
Code: https://github.com/resemble-ai/Perth
Terminology
Sources
- Qwen3-Omni Technical Report
- WavMark: Watermarking for Audio Generation
- HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal
- Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
- A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination
- UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement
- High Fidelity Neural Audio Compression
Related papers
- Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
- Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
- AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
- SoundWeaver: Compositional Warm-Starting for Text-to-Audio Diffusion Serving
- WASIL: In-the-Wild Arabic Spoken Interactions with LLMs
- Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment