基于线性干扰抵消的扩频语音信息隐藏算法

在语音信息隐藏中，语音载体严重影响隐密信息的隐藏容量。为了消除语音宿主干扰，提出一种适应于色噪声载体的扩展线性干扰抵消隐藏算法。首先建立语音残差嵌入模型，然后在语音残差空间内，对水印信号作预先抵消处理，最后将处理后的水印信号嵌入至语音残差中去。理论分析和实验结果表明，与普通语音隐藏算法相比，该算法可以有效地消除语音宿主干扰，显著地提高解码性能，并且对于常见的语音处理和攻击具有较强的鲁棒性。

Spread spectrum speech information hiding based on linear interference cancellation

In speech information hiding, host interference restricts the capacity of hidden information. To eliminate the speech host interference, this paper presented a spread spectrum embedding and decoding method based on extended linear interference cancellation, which was applicable to color noise host model. Based on the speech residual embedding model, a pre-cancellation operation on the watermark was employed. The new watermark was then embedded into the speech residual signal. It is verified by the theoretical analysis and the simulation that, in contrast to traditional spread spectrum speech watermarking, the speech host interference problem is solved effectively and the decoding performance is improved significantly. In addition, the proposed scheme is robust to conventional speech processing and attacks.