Inaudible Speech Watermarking Based on Self-compensated Echo-hiding and Sparse Subspace Clustering
Inaudible Speech Watermarking Based on Self-compensated Echo-hiding and Sparse Subspace Clustering
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DOI：
10.1109/icassp.2019.8682352
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发表时间：
2019-05
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影响因子：
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通讯作者：
Shengbei Wang;Weitao Yuan;Jianming Wang;M. Unoki
中科院分区：
文献类型：
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作者：
Shengbei Wang;Weitao Yuan;Jianming Wang;M. Unoki
该方法利用稀疏子空间聚类技术实现了基于不听回波隐藏的语音水印。首先用SSC对语音信号进行分析，得到其稀疏的低秩分量。水印作为稀疏分量的回波嵌入，实现鲁棒提取。由两个独立回波核组成的自补偿回波具有相似的延迟偏移量，但振幅相反。通过对稀疏分量和低秩分量分别执行回波核，嵌入一个1位水印。因此，由一个回波信号引起的声音失真可以被另一个回波信号快速补偿，从而实现更好的听不见性。由于嵌入的回波与稀疏分量具有相同的稀疏性，即使不直接对原始语音进行回波核，也可以通过基本倒谱分析提取水印。评价结果验证了该方法的可行性和有效性。
The method reported here realizes an inaudible echo-hiding based speech watermarking by using sparse subspace clustering (SSC). Speech signal is first analyzed with SSC to obtain its sparse and low-rank components. Watermarks are embedded as the echoes of the sparse component for robust extraction. Self-compensated echoes consisting of two independent echo kernels are designed to have similar delay offsets but opposite amplitudes. A one-bit watermark is embedded by separately performing the echo kernels on the sparse and low-rank components. As a result, the sound distortion caused by one echo signal can be quickly compensated by the other echo signal, which enables better inaudibility. Since the embedded echoes have the same sparsity as the sparse component, watermarks can be extracted with a basic cepstrum analysis even if the echo kernels are not directly performed on the original speech. The evaluation results verify the feasibility and effectiveness of this method.