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Digital Watermarking pp 39–53Cite as

Speech Watermarking

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Part of the book series: Springer Topics in Signal Processing ((STSP,volume 11))

Abstract

Speech is the most important form of human communication which carries valuable information on who/what/how speaker speaks. Currently, applying speech signal for computer science is growing due to three major reasons [1]. First, speech is easy to be produced, captured, and transmitted as it has a lower cost compared to image. Second, speech signal can be captured from a distance (non-invasive). Third, speech carries other types of information such as emotion, age, and gender.

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References

  1. Nematollahi, M.A., and S. Al-Haddad. 2015. Distant speaker recognition: An overview. International Journal of Humanoid Robotics 1550032.

    Google Scholar 

  2. William, S. 2006. Cryptography and network security, 4 edn. Pearson Education India.

    Google Scholar 

  3. Huang, H.-C., and W.-C. Fang. 2010. Metadata-based image watermarking for copyright protection. Simulation Modelling Practice and Theory 18(4): 436–445.

    Article  Google Scholar 

  4. Huang, H.-C., et al. 2011. Tabu search based multi-watermarks embedding algorithm with multiple description coding. Information Sciences 181(16): 3379–3396.

    Article  Google Scholar 

  5. Faundez-Zanuy, M., J.J. Lucena-Molina, and M. Hagmüller. 2010. Speech watermarking: An approach for the forensic analysis of digital telephonic recordings*. Journal of Forensic Sciences 55(4): 1080–1087.

    Article  Google Scholar 

  6. Faundez-Zanuy, M. 2010. Digital watermarking: New speech and image applications. Advances in Nonlinear Speech Processing, 84–89.

    Google Scholar 

  7. Faundez-Zanuy, M., M. Hagmüller, and G. Kubin. 2006. Speaker verification security improvement by means of speech watermarking. Speech Communication 48(12): 1608–1619.

    Article  MATH  Google Scholar 

  8. Faundez-Zanuy, M., M. Hagmüller, and G. Kubin. 2007. Speaker identification security improvement by means of speech watermarking. Pattern Recognition 40(11): 3027–3034.

    Article  MATH  Google Scholar 

  9. Hagmüller, M., et al. 2004. Speech watermarking for air traffic control. Watermark 8(9): 10.

    Google Scholar 

  10. Hofbauer, K., G. Kubin, and W.B. Kleijn. 2009. Speech watermarking for analog flat-fading bandpass channels. IEEE Transactions on Audio, Speech, and Language Processing 17(8): 1624–1637.

    Article  Google Scholar 

  11. Hofbauer, K., H. Hering, and G. Kubin. 2005. Speech watermarking for the VHF radio channel. In Proceedings of the 4th Eurocontrol innovative research workshop.

    Google Scholar 

  12. Rabiner, L.R., and R.W. Schafer. 1978. Digital processing of speech signals. Prentice Hall.

    Google Scholar 

  13. Al-Shoshan, A.I. 2006. Speech and music classification and separation: A review. Journal of King Saud University 19(1): 95–133.

    Google Scholar 

  14. Flanagan, J.L. 1972. Speech analysis: Synthesis and perception.

    Google Scholar 

  15. Rabiner, L.R., and R.W. Schafer. 2009. Theory and application of digital speech processing. Preliminary Edition.

    Google Scholar 

  16. Blamey, P., et al. 1987. Acoustic parameters measured by a formant-estimating speech processor for a multiple-channel cochlear implant. The Journal of the Acoustical Society of America 82(1): 38–47.

    Article  Google Scholar 

  17. Schroeder, M.R., B.S. Atal, and J. Hall. 1979. Optimizing digital speech coders by exploiting masking properties of the human ear. The Journal of the Acoustical Society of America 66(6): 1647–1652.

    Article  Google Scholar 

  18. Taal, C.H., R.C. Hendriks, and R. Heusdens. 2012. A low-complexity spectro-temporal distortion measure for audio processing applications. IEEE Transactions on Audio, Speech, and Language Processing 20(5): 1553–1564.

    Article  Google Scholar 

  19. Swanson, M.D., et al. 1998. Robust audio watermarking using perceptual masking. Signal Processing 66(3): 337–355.

    Article  MATH  Google Scholar 

  20. Bassia, P., I. Pitas, and N. Nikolaidis. 2001. Robust audio watermarking in the time domain. IEEE Transactions on Multimedia 3(2): 232–241.

    Article  Google Scholar 

  21. Cvejic, N., A. Keskinarkaus, and T. Seppanen. 2001. Audio watermarking using m-sequences and temporal masking. In IEEE workshop on the applications of signal processing to audio and acoustics, 2001. IEEE.

    Google Scholar 

  22. Kubin, G., B. Atal, and W. Kleijn. 1993. Performance of noise excitation for unvoiced speech. In Proceedings of IEEE workshop on speech coding for telecommunications, 1993. IEEE.

    Google Scholar 

  23. Kim, D.-S. 2003. Perceptual phase quantization of speech. IEEE Transactions on Speech and Audio Processing 11(4): 355–364.

    Article  Google Scholar 

  24. Takahashi, A., R. Nishimura, and Y. Suzuki. 2005. Multiple watermarks for stereo audio signals using phase-modulation techniques. IEEE Transactions on Signal Processing 53(2): 806–815.

    Article  MathSciNet  Google Scholar 

  25. Malvar, H.S. 1992. Signal processing with lapped transforms. Artech House.

    Google Scholar 

  26. Malvar, H.S. 1992. Extended lapped transforms: Properties, applications, and fast algorithms. IEEE Transactions on Signal Processing 40(11): 2703–2714.

    Article  MATH  Google Scholar 

  27. Shlien, S. 1997. The modulated lapped transform, its time-varying forms, and its applications to audio coding standards. IEEE Transactions on Speech and Audio Processing 5(4): 359–366.

    Article  Google Scholar 

  28. Cox, I.J., et al. 2002. Digital watermarking. Vol. 53. Springer.

    Google Scholar 

  29. Costa, M.H. 1983. Writing on dirty paper (corresp.). IEEE Transactions on Information Theory 29(3): 439–441.

    Google Scholar 

  30. Chu, W.C. 2004. Speech coding algorithms: Foundation and evolution of standardized coders. Wiley.

    Google Scholar 

  31. Arora, S. and S. Emmanuel. 2003. Adaptive spread spectrum based watermarking of speech. In 9th National undergraduate research opportunities programme congress Poster 15.

    Google Scholar 

  32. Cheng, Q. and J. Sorensen. 2001. Spread spectrum signaling for speech watermarking. In Proceedings (ICASSP’01) IEEE international conference on acoustics, speech, and signal processing, 2001. IEEE.

    Google Scholar 

  33. Geiser, B. and P. Vary. 2008. High rate data hiding in ACELP speech codecs. In IEEE international conference on acoustics, speech and signal processing, 2008. ICASSP 2008. IEEE.

    Google Scholar 

  34. Lacy, J., et al. 1998. On combining watermarking with perceptual coding. In Proceedings of the 1998 IEEE international conference on acoustics, speech and signal processing, 1998. IEEE.

    Google Scholar 

  35. Liu, C.-H. and O.T.-C. Chen. 2004. Fragile speech watermarking scheme with recovering speech contents. In The 2004 47th midwest symposium on circuits and systems, 2004. MWSCAS’04. IEEE.

    Google Scholar 

  36. Zhe-Ming, L., Y. Bin, and S. Sheng-He. 2005. Watermarking combined with CELP speech coding for authentication. IEICE Transactions On Information And Systems 88(2): 330–334.

    Google Scholar 

  37. Yan, B., and Y.-J. Guo. 2013. Speech authentication by semi-fragile speech watermarking utilizing analysis by synthesis and spectral distortion optimization. Multimedia Tools And Applications 67(2): 383–405.

    Article  Google Scholar 

  38. Gurijala, A. 2007. Speech watermarking through parametric modeling. ProQuest.

    Google Scholar 

  39. Chen, S. and H. Leung. 2006. Concurrent data transmission through PSTN by CDMA. In Proceedings of 2006 IEEE international symposium on circuits and systems, 2006. ISCAS 2006. IEEE.

    Google Scholar 

  40. Malik, H.M., R. Ansari, and A.A. Khokhar. 2007. Robust data hiding in audio using allpass filters. IEEE Transactions on Audio, Speech, and Language Processing 15(4): 1296–1304.

    Article  Google Scholar 

  41. Narimannejad, M. and S.M. Ahadi. 2011. Watermarking of speech signal through phase quantization of sinusoidal model. In 19th Iranian conference on electrical engineering (ICEE), 2011. IEEE.

    Google Scholar 

  42. Hatada, M., et al. 2002. Digital watermarking based on process of speech production. In ITCom 2002: the convergence of information technologies and communications. International Society for Optics and Photonics.

    Google Scholar 

  43. Garcia-Hernandez, J.J., M. Nakano-Miyatake, and H. Perez-Meana. 2008. Data hiding in audio signal using rational dither modulation. IEICE Electronics Express 5(7): 217–222.

    Article  Google Scholar 

  44. Al-Haj, A. 2014. An imperceptible and robust audio watermarking algorithm. EURASIP Journal on Audio, Speech, and Music Processing 2014(1): 1–12.

    Article  Google Scholar 

  45. Bhat, V., I. Sengupta, and A. Das. 2010. An adaptive audio watermarking based on the singular value decomposition in the wavelet domain. Digital Signal Processing 20(6): 1547–1558.

    Article  Google Scholar 

  46. Xiang, S. 2011. Audio watermarking robust against D/A and A/D conversions. EURASIP Journal on Advances In Signal Processing 2011: 3.

    Article  Google Scholar 

  47. Özer, H., B. Sankur, and N. Memon. 2005. An SVD-based audio watermarking technique. In Proceedings of the 7th workshop on multimedia and security. ACM.

    Google Scholar 

  48. Wang, X., W. Qi, and P. Niu. 2007. A new adaptive digital audio watermarking based on support vector regression. IEEE Transactions on Audio, Speech, and Language Processing 15(8): 2270–2277.

    Article  Google Scholar 

  49. Lei, B., et al. 2012. A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Processing 92(9): 1985–2001.

    Article  Google Scholar 

  50. Lei, B.Y., I.Y. Soon, and Z. Li. 2011. Blind and robust audio watermarking scheme based on SVD–DCT. Signal Processing 91(8): 1973–1984.

    Article  MATH  Google Scholar 

  51. Hu, H.-T., et al. 2014. Incorporation of perceptually adaptive QIM with singular value decomposition for blind audio watermarking. EURASIP Journal on Advances in Signal Processing 2014(1): 1–12.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand

    Mohammad Ali Nematollahi & Chalee Vorakulpipat

  2. Universidad Autónoma de Zacatecas, Zacatecas, Mexico

    Hamurabi Gamboa Rosales

Authors
  1. Mohammad Ali Nematollahi
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  2. Chalee Vorakulpipat
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  3. Hamurabi Gamboa Rosales
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Corresponding author

Correspondence to Mohammad Ali Nematollahi .

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© 2017 Springer Science+Business Media Singapore

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Nematollahi, M.A., Vorakulpipat, C., Rosales, H.G. (2017). Speech Watermarking. In: Digital Watermarking . Springer Topics in Signal Processing, vol 11. Springer, Singapore. https://doi.org/10.1007/978-981-10-2095-7_3

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  • DOI: https://doi.org/10.1007/978-981-10-2095-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2094-0

  • Online ISBN: 978-981-10-2095-7

  • eBook Packages: EngineeringEngineering (R0)

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