Speech watermarking using Deep Neural Networks

Watermarking is a process in which both physical and digital media are marked using watermarks in order to protect ownership of the watermarked media. Digital watermarking is a technique where a watermark gets embedded into the carrier signal while preserving the quality of the original media. Embedding can happen in various domains and could be both hidden and plain, but the quality and the information carried by the signal should not deteriorate. This paper deals with hiding watermarks into speech audio signals using deep neural networks. We present an encoder-decoder architecture that achieved PSNR value greater than 57dB, which we used as a preservation measure of the original signal and message transmission accuracy of almost 100%. Audio data, used in this paper, consists of speeches from the Parliament of Montenegro.