Adaptive Speech Watermarking in Wavelet Domain based on Logarithm

Mehdi Fallahpour, David Megias, Hossein Najaf-Zadeh

Abstract

Considering the fact that the human auditory system requires more precision at low amplitudes, the use of a logarithmic quantization algorithm is an appropriate design strategy. Logarithmic quantization is used for the approximation coefficients of a wavelet transform to embed the secret bits. To improve robustness, the approximation coefficients are packed into frames and each secret bit is embedded into a frame. The experimental results show that the distortion caused by the embedding algorithm is adjustable and lower than that introduced by a standard ITU-T G.723.1 codec. Therefore, the marked signal has high quality (PESQ-MOS score around 4.0) and the watermarking scheme is transparent. The capacity is adjustable and ranges from very low bit-rates to 4000 bits per second. The scheme is shown to be robust against different attacks such as ITU-T G.711 (a-law and u-law companding), amplification and low-pass RC filters.

References

  1. Celik, M., Sharma, G., Tekalp, A. M., 2005. Pitch and duration modification for speech watermarking. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), vol. 2, pp. 17-20.
  2. Chen, S., Leung, H., 2007. Speech bandwidth extension by data hiding and phonetic classification. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), vol. 4, pp. 593-596.
  3. Girin, L., Marchand, S., 2004. Watermarking of speech signals using the sinusoidal model and frequency modulation of the partials. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), vol. 1, pp. 633-636.
  4. Gurijala, A., Deller, J., 2007. On the robustness of parametric watermarking of speech. In Multimedia Content Analysis and Mining, ser. Lecture Notes in Computer Science, Springer, vol. 4577/2007, pp. 501- 510.
  5. Hu, Y., Loizou, P., 2007. Subjective evaluation and comparison of speech enhancement algorithms. Speech Communication, 49, 588-601.
  6. ITU-T, Recommendation P.861. http://www.itu.int/rec/TREC-P.861/en (accessed on June 22nd, 2012).
  7. ITU-T, Recommendation G.711. http://www.itu.int/rec/TREC-G.711/en (accessed on June 22nd, 2012).
  8. ITU-T, Recommendation G.723. http://www.itu.int/rec/TREC-G.723/en (accessed on June 22nd, 2012).
  9. Lang, A., Stirmark Benchmark for Audio. http://wwwiti.cs.uni-magdeburg.de/alang/smba.php (accessed on June 22nd, 2012).
  10. Sagi, A., Malah, D., 2007. Bandwidth extension of telephone speech aided by data embedding. EURASIP J. Adv. Signal Process., vol. 2007, article ID 64921.
  11. Salomon, D., 2007. Data Compression: the Complete Reference. Springer.
Download


Paper Citation


in Harvard Style

Fallahpour M., Megias D. and Najaf-Zadeh H. (2012). Adaptive Speech Watermarking in Wavelet Domain based on Logarithm . In Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2012) ISBN 978-989-8565-24-2, pages 412-415. DOI: 10.5220/0004091704120415


in Bibtex Style

@conference{secrypt12,
author={Mehdi Fallahpour and David Megias and Hossein Najaf-Zadeh},
title={Adaptive Speech Watermarking in Wavelet Domain based on Logarithm},
booktitle={Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2012)},
year={2012},
pages={412-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004091704120415},
isbn={978-989-8565-24-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2012)
TI - Adaptive Speech Watermarking in Wavelet Domain based on Logarithm
SN - 978-989-8565-24-2
AU - Fallahpour M.
AU - Megias D.
AU - Najaf-Zadeh H.
PY - 2012
SP - 412
EP - 415
DO - 10.5220/0004091704120415