通过隐空间正交旋转实现无声水印，无需训练且抗干扰强。
Latent Secret Spin: Keyed Orthogonal Rotations for Blind Speech Watermarking in Anisotropic Latent Spaces
- 在编码器隐空间中对主成分做伪随机正交旋转
- 水印不可察觉但可检测，支持不同数据集和载荷大小
- 无需神经网络训练，适合需要透明性和灵活性的场景
我们提出一种基于编解码器隐空间几何操作的盲语音水印方法——隐空间秘密旋转（LSS）。该方法基于主成分的正交旋转，在不改变语音感知质量的前提下，根据伪随机水印调度生成不可察觉但可检测的协方差特征。该方案具备跨数据集泛化能力，对常见信号处理操作具有鲁棒性，且无需神经网络训练，可灵活调节水印载荷。分析表明，结构化的隐空间水印是一种有前景且可解释的替代方案。
原文摘要 · Abstract (English)
We introduce Latent Secret Spin (LSS), a blind speech watermarking method based on geometric operations in codec latent space. Based upon orthogonal rotations to principal components, LSS induces imperceptible but detectable covariance signatures according to a pseudo-random watermarking schedule. The scheme generalises across datasets, preserves perceptual quality and, unlike some learned, neural watermarking schemes, it does not require neural network training, is resistant to common signal manipulations and is flexible to payload size. Analyses show that structured latent-space watermarking is a promising and interpretable alternative to existing approaches.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。