Speech steganography using wavelet and Fourier transforms
1 Université de Bretagne Occidentale, Brest, France
2 Canadian University of Dubai, Dubai, UAE
3 University of Moncton, Shippagan, NB, Canada
4 University of Moncton, Moncton, NB, Canada
EURASIP Journal on Audio, Speech, and Music Processing 2012, 2012:20 doi:10.1186/1687-4722-2012-20Published: 8 August 2012
A new method to secure speech communication using the discrete wavelet transforms (DWT) and the fast Fourier transform is presented in this article. In the first phase of the hiding technique, we separate the speech high-frequency components from the low-frequency components using the DWT. In a second phase, we exploit the low-pass spectral proprieties of the speech spectrum to hide another secret speech signal in the low-amplitude high-frequency regions of the cover speech signal. The proposed method allows hiding a large amount of secret information while rendering the steganalysis more complex. Experimental results prove the efficiency of the proposed hiding technique since the stego signals are perceptually indistinguishable from the equivalent cover signal, while being able to recover the secret speech message with slight degradation in the quality.