Speech steganography using wavelet and Fourier transforms

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Springer Nature Switzerland AG
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. © 2012 Rekik et al.; licensee Springer.
This article is licensed under Creative Commons License and full text is openly accessible in CUD Digital Repository. The version of the scholarly record of this article is published in Eurasip Journal on Audio, Speech, and Music Processing (2012), accessible online through this link https://doi.org/10.1186/1687-4722-2012-20.
Audio steganography, Data hiding, High frequency components, High frequency HF, Low-amplitude, Low-frequency component, Low-pass, Second phase, Secret information, Speech signals, Speech spectra, Steganalysis, Fast Fourier transform, Steganography, Discrete wavelet transforms
Rekik, S., Guerchi, D., Selouani, S.-A., & Hamam, H. (2012). Speech steganography using wavelet and Fourier transforms. Eurasip Journal on Audio, Speech, and Music Processing, 2012(1). https://doi.org/10.1186/1687-4722-2012-20