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 water-
marking 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.