Narrowband Speech Hiding using Vector Quantization

Authors: Driss Guerchi, Fatiha Djebbar

Abstract:

In this work we introduce an efficient method to limit the impact of the hiding process on the quality of the cover speech. Vector quantization of the speech spectral information reduces drastically the number of the secret speech parameters to be embedded in the cover signal. Compared to scalar hiding, vector quantization hiding technique provides a stego signal that is indistinguishable from the cover speech. The objective and subjective performance measures reveal that the current hiding technique attracts no suspicion about the presence of the secret message in the stego speech, while being able to recover an intelligible copy of the secret message at the receiver side.

Keywords: Speech steganography, LSF vector quantization, fast Fourier transform

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078452

References:

[1] N. Johnson and S. Jajodia, "Exploring steganography: seeing the unseen," IEEE Computer, pp. 26-34, February 1998.
[2] Eugene T. Lin and Edward J. Delp "A review of data hiding in digital images", Proceedings of the Image Processing, Image Quality, Image Capture Systems Conference, PICS-99
[3] T. Rabie, A Novel Compression Technique for Super Resolution Color Photography, IEEE International Conference on Innovations in Information Technology (IIT2006), November 2006. Dubai, UAE, 1-5.
[4] D. Guerchi, H. M. Harmain, T. Rabie, and E. E. Mohamed, "Speech Secrecy: An FFT-based Approach," Special Issue on "Evolving Computer Science Applications" of the Journal of Mathematics and Computer Science, 3, n.2, pp. 107-125, 2008.
[5] D. Guerchi, "LPC-based Narrowband Speech Steganography," Journal of Multimedia. (To appear.)
[6] D. O-Shaughnessy, "Speech Communications: Human and Machine," Wiley-IEEE Press; 2 edition, 1999.
[7] F. Itakura, "Line spectrum representation of linear predictive coefficients," Journal of Acoustics Society of America, vol. 57, no. 1, pp. S35, 1975.