Dynamic energy based text-in-speech spectrum hiding using speech masking properties

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Date

2010

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Publisher

Institute of Electrical and Electronics Engineers Inc.

Abstract

In this paper we present a new method for text-in-speech Fast Fourier Transform (FFT) based steganography. Our method exploits high energetic magnitude frequency components of speech spectrum to hide the secret text. The energy level of each magnitude component is evaluated, and considered only if it is high enough to embed secret data. A frequency maskmg threshold is then calculated for each energetic frequency magnitude component to decide where to embed the secret text. As a result, the initial energy of the cover speech spectrum is slightly modified and the dIstortion error is always kept under the mask. The objective and subjective evaluations show that introducing the energy-based frequency masking 0l?ens new frontiers in text-in-speech steganography since hIgher bit rate text embedding was achieved while obtaining a stego-speech with unnoticeable distortion. © 2010 IEEE.

Description

This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2010 The 2nd International Conference on Industrial Mechatronics and Automation (2010), available online at: https://doi.org/10.1109/ICINDMA.2010.5538279.

Keywords

Bit rates, Distortion errors, Dynamic energy, Energy level, FFT based steganography, Frequency components, Initial energy, Masking properties, Secret data, Speech spectra, Subjective evaluations, Text-in-speech hiding, Fast Fourier transforms, Mechatronics, Steganography, Electron energy levels

Citation

Djebbar, F., Abed-Meraim, K., Guerchi, D., & Hamam, H. (2010). Dynamic energy based text-in-speech spectrum hiding using speech masking properties. ICIMA 2010 - 2010 2nd International Conference on Industrial Mechatronics and Automation, 2, 422–426. https://doi.org/10.1109/ICINDMA.2010.5538279

URI

http://dx.doi.org/10.1109/ICINDMA.2010.5538279
 http://hdl.handle.net/20.500.12519/91

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Department of Computer Engineering and Computational Sciences