Unified phase and magnitude speech spectra data hiding algorithm

Abstract

In this paper, we present a unified algorithm for phase and magnitude speech spectra data hiding. The phase and the magnitude speech spectra are concurrently investigated to increase the capacity and the security of the embedded information. The proposed algorithm in this paper is based on finding secure spectral embedding areas in wideband magnitude speech spectrum. Our approach exploits these areas to hide data in both speech components (i.e., phase and magnitude). The embedding locations and hiding capacity are defined according to a controlled acceptable distortion in the magnitude spectrum. The latter is expressed as a set of parameters controlled by the sender. Consequently, the hiding capacity and the locations of concealed data change for each data communication instance to further prevent malicious intrusions. Objective results show that the presented algorithm in this paper secures hidden data and achieves interesting tradeoffs between the hiding capacity and the speech quality. Copyright © 2013 John Wiley & Sons, Ltd.

A Survey on Audio Steganography Approaches

“…For frequencies masking from weaker frequencies to stronger resonant, apply the "masking effect" phenomenon on frequencies [26] [27]. Several approaches are defined next which have been proposed in in the transform domain.…”

Comparative study of digital audio steganography techniques

“…Additionally, there are some common environmental distortions, to the point that they would be ignored by listeners in most cases. These properties have led researchers to explore the utilization of audio signals as carriers to hide data [4][5][6][7][8][9]. The alterations of audio signals for data embedding purposes may affect the quality of these signals.…”

“…Several methods in the transform domain have been proposed in the literature as described next. To achieve the inaudibility, these methods exploit the frequency masking effect of the HAS directly by explicitly modifying only masked regions [7,[22][23][24] or indirectly [25,26] by altering slightly the audio signals samples.…”

“…Following this principle, authors in [7] propose a steganographic algorithm that embeds high-capacity data in the magnitude speech spectrum while ensuring the hiddendata security and controlling the distortion of the covermedium. The hidden data (payload) could be of any type such as: encrypted data, compressed data, groups of data (LPC, MP3, AMR, CELP, parameters of speech recognition, etc).…”

Host cancelation‐based spread spectrum watermarking for audio anti‐piracy over Internet

“…Different types of schemes have been developed to effectively embed watermark information into audio signals. The efforts in endeavor to modulate the watermark information bits to the phase components of the audio signal, utilizing the fact that human ears are insensitive to slight phase changes. Orthogonal frequency‐division multiplexing concept is introduced in to allow for controllable embedding payload and perceptual distortion.…”