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Robust audio and speech watermarking using Gaussian and Laplacian modeling

Akhaee, M. A ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1016/j.sigpro.2010.02.013
  3. Publisher: 2010
  4. Abstract:
  5. In this paper, a semi-blind multiplicative watermarking approach for audio and speech signals has been presented. At the receiver end, the optimal maximum likelihood (ML) detector aided by the archived information for Gaussian and Laplacian signals in noisy environment is designed and implemented. The performance of the proposed scheme is analytically calculated and verified by simulation. Then, we adapt the proposed scheme to speech and audio signals. To improve robustness, the algorithm is applied to low frequency components of the host signal. Besides, the power of the watermark is controlled elegantly to have inaudibility using perceptual evaluation of audio quality (PEAQ) and perceptual evaluation of speech quality (PESQ) algorithms. Experimental results over several audio and speech signals show the higher robustness of the proposed technique in comparison with other watermarking schemes presented so far
  6. Keywords:
  7. Inaudibility control ; Maximum likelihood detector ; Audio signal ; Gaussians ; Host signals ; Laplacians ; Low-frequency components ; Maximum likelihood detectors ; Multiplicative watermarking ; Noisy environment ; Perceptual evaluation of audio qualities ; Perceptual evaluation of speech qualities ; Semi-blind ; Speech signals ; Speech watermarking ; Watermarking schemes ; Detectors ; Laplace transforms ; Maximum likelihood ; Robustness (control systems) ; Signal detection ; Watermarking ; Quality control
  8. Source: Signal Processing ; Volume 90, Issue 8 , 2010 , Pages 2487-2497 ; 01651684 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0165168410000733?np=y