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A sparse representation-based wavelet domain speech steganography method

Ahani, S ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/TASLP.2014.2372313
  3. Abstract:
  4. In this paper, we present a novel speech steganography method using discrete wavelet transform and sparse decomposition to address the undetectability concern in speech steganography. The proposed speech steganography method exploits the sparse representation to embed secret messages into higher semantic levels of the cover signal, resulting in increased undetectability. The proposed method also yields improvements on both stego signal quality and embedding capacity, which are the two major requirements of a steganography algorithm. Our experimental results illustrate that the stego signals generated by the proposed method are perceptually indistinguishable from the original cover signals, quantified by both SNR and PESQ quality measures. When compared with two well-known steganography methods, the proposed method is shown to be superior on addressing major requirements of a steganography algorithm, imperceptibility, undetectability, and capacity
  5. Keywords:
  6. Data hiding ; Discrete wavelet transform ; Speech steganography ; Discrete wavelet transforms ; Semantics ; Speech ; Wavelet decomposition ; Wavelet transforms ; Dictionary learning ; Embedding capacity ; Quality measures ; Secret messages ; Semantic levels ; Sparse decomposition ; Sparse representation ; Steganography
  7. Source: IEEE/ACM Transactions on Speech and Language Processing ; Volume 23, Issue 1 , 2015 , Pages 80-91 ; 23299290 (ISSN)
  8. URL: http://ieeexplore.ieee.org/document/6963352