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Speech signals protection via logo watermarking based on the time–frequency analysis

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Abstract

A procedure for logo watermarking of speech signals is proposed. In order to take full advantage of both time and frequency domains, we have used joint time–frequency representation of speech signal, which provides a more comprehensive information compared to each domain individually. Time–frequency-based selection of the discrete Fourier transform coefficients is used for logo embedding. The proposed coefficients selection provides both the imperceptibility and robustness requirements. The binary logo is embedded by using the concept of bit-plane modification. The logo extraction procedure is provided as well. The robustness of the proposed procedure is tested under various attacks such as compression, noise addition, filtering, re-sampling, re-quantization, time stretch, pitch scaling, etc.

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References

  1. Barni M, Bartolini F (2004) Watermarking systems engineering. Marcel Dekker, New York

    Google Scholar 

  2. Hartung F, Kutter M (1999) Multimedia watermarking techniques. Proc IEEE 87(7):1079–1107 July

    Article  Google Scholar 

  3. Bassia P, Pitas I (2001) Robust audio watermarking in the time domain. IEEE Trans Multimedia 3(2):232–241 June

    Article  Google Scholar 

  4. Ko BS, Nishimura R, Suzuki Y (2005) Time-spread echo method for digital audio watermarking. IEEE Trans Multimedia 7(2):212–221 April

    Article  Google Scholar 

  5. Cvejić N (2004) Algorithms for audio watermarking and steganography. University of Oulu

  6. Kirovski D, Malvar HS (2003) Spread-spectrum watermarking of audio signals. IEEE Transact Signal Proc 51(4):1020–1033 April

    Article  MathSciNet  Google Scholar 

  7. Swanson MD, Zhu B, Twefik AH, Boney L (1998) Robust audio watermarking using perceptual masking. Signal Proc 66(3):337–355 May

    Article  MATH  Google Scholar 

  8. Jian W, Fu-zhong L (2005) Digital audio watermarking based on support vector machine (SVM). J Comput Res Dev 42(9):1605–1611

    Article  Google Scholar 

  9. Tang X, Niu Y, Yue H, Yin Z (2005) A digital audio watermark embedding algorithm. Int J Inform Tech 11(12):24–31

    Google Scholar 

  10. Tsai HH, Cheng JS, Yu PT (2003) Audio watermarking based on HAS and neural networks in DCT domain. EURASIP J Appl Signal Proc 3:252–263

    Article  Google Scholar 

  11. Xu X, Peng H, He C (2007) DWT-based audio watermarking using support vector regression and subsampling. Proc. of the 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, pp. 136–144, July

  12. Kundur D, Hatzinakos D (2004) Toward robust logo watermarking using multiresolution image fusion. IEEE Trans Multimedia 6(1):185–198 Feb

    Article  Google Scholar 

  13. Braudaway GW (1997) Protecting publicly-available images with an invisible image watermark. Proc IEEE Int Conf Image Proc 1:524–527 Oct

    Article  Google Scholar 

  14. Arnold O, Wolthusen S, Schmucker M (2003) Techniques and applications of digital watermarking and content protection. Artech House, Norwood

    Google Scholar 

  15. Su PC, Kuo CCJ (1999) Blind watermarking for cartoon and map images. Proc SPIE Security Watermark Multim Cont 3657:296–306 Jan

    Google Scholar 

  16. Boashash B (2003) Time–frequency signal analysis and processing. Elsevier, Amsterdam

    Google Scholar 

  17. Stanković LJ (1994) A method for time–frequency signal analysis. IEEE Transact Signal Proc 42(1):225–229 Jan

    Article  Google Scholar 

  18. Potdar VM, Han S, Chang E (2005) A survey of digital image watermarking techniques. Proc. of IEEE’s 3rd International Conference on Industrial Informatics, INDIN’05, pp. 709–716, August

  19. Alomari RS, Al-Jaber A (2004) A fragile watermarking algorithm for content authentication. Int J Comput Inform Sci 2(1):27–37 April

    Google Scholar 

  20. Altun O, Sharma G, Celik MU, Bocko FM (2006) A set theoretic framework for watermarking and its application to semifragile tamper detection. IEEE Trans Inform Forensics Sec 1(4):479–492 Dec

    Article  Google Scholar 

Download references

Acknowledgement

The authors are thankful to the anonymous reviewers for useful comments that helped to make the paper more complete.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orović, Predrag Zogović, Nikola Žarić & Srdjan Stanković

Authors
  1. Irena Orović
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  2. Predrag Zogović
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  3. Nikola Žarić
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  4. Srdjan Stanković
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Correspondence to Irena Orović.

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Orović, I., Zogović, P., Žarić, N. et al. Speech signals protection via logo watermarking based on the time–frequency analysis. Ann. Telecommun. 63, 369–377 (2008). https://doi.org/10.1007/s12243-008-0036-3

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  • DOI: https://doi.org/10.1007/s12243-008-0036-3

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