Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions
Audio watermarking aims to embed identifiable information into audio while remaining imperceptible. Existing methods adopt high-fidelity, low-energy designs to preserve perceptual quality, but the resulting watermarks lack robustness under suppression by speech reconstruction models. Improving robustness is challenging due to the inherent robustness-fidelity trade-off in existing designs, where increasing watermark energy improves robustness but reduces fidelity. To address this problem, we propose a feature-aligned watermarking method that aligns the watermark with the original speech feature distribution, allowing higher watermark energy to improve robustness while preserving impercepti...
| Authors | Haiyun Li, Shuhai Peng, Zhisheng Zhang et al. |
|---|---|
| Primary category | cs.SD |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
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