Advanced algorithms in audio steganography for hiding human speech signal

on a sociological level, having finally taken a foothold during the internet generation's explosive growth of the 1990s, steganography serves as a means for private, secure and sometimes malicious communication. On a technical level in this thesis, we have proposed two methods of steganography: one of them is based on the technology of spectrum shift, when the distribution of human speech becomes located in unheard places of music spectrum. The second one is based on the technology of spectrum spreading when harmonics of human voice and music are mixed between each other then the Inverse Fourier transform is applied to form a new signal in time domain. Most important technical sound of this project is attempting to implement methods of analog audio steganography, which allow embedding human speech signal to the sound file.