Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 647–652 (2017)
Abstract. We consider a digital watermarking system intended for an embedding of additional information into audio (typically musical) files that should be resistant against a removal attack. The proposed embedding procedure is based on a reverberation and extraction procedure executing a cepstral transform. A removal attack based on blind dereverberation is investigated both theoretically and experimentally. In order to prevent such an attack, a slight modification of the embedding procedure is also proposed. Further experiments show that the proposed watermarking system provides both a good quality of the cover audio-signal and a sufficiently large embedding rate.
- M. Arnold, P. G. Baum, and W. Voeßing, “Information hiding,” S. Katzenbeisser and A.-R. Sadeghi, Eds. Berlin, Heidelberg: Springer-Verlag, 2009, ch. A Phase Modulation Audio Watermarking Technique, pp. 102–116, http://dx.doi.org/10.1007/978-3-642-04431-1_8. [Online]. Available: http://dx.doi.org/10.1007/978-3-642-04431-1_8
- V. I. Korzhik, G. Morales-Luna, and I. Fedyanin, “Audio watermarking based on echo hiding with zero error probability.” International Journal of Computer Science and Applications, vol. 10, no. 1, pp. 1–10, 2013.
- V. Alekseyev, A. Grudinin, and V. Korzhik, “Design of robust audio watermark system,” in Proceedings of the XI International Symposium on Problems of Redundancy in Information and Control Systems, Aug 2007, pp. 163–165.
- H. Liu and W. Zhang, “Overview of audio watermarking algorithm against synchronization attacks,” in Advances in Intelligent Systems Research: ICAITA-16, Aug 2016, http://dx.doi.org/10.2991/icaita-16.2016.52.
- J. M. Arend and C. Pörschmann, “Audio watermarking of binaural room impulse responses,” in Audio Engineering Society Conference: 2016 AES International Conference on Headphone Technology, Aug 2016, http://dx.doi.org/10.17743/aesconf.2016.978-1-942220-09-1. [Online]. Available: http://www.aes.org/e-lib/browse.cfm?elib=18346
- J. Proakis, Digital Communications, Fourth Edition. Mc Graw Hill, 2001.
- D. G. Childers, D. P. Skinner, and R. C. Kemerait, “The cepstrum: A guide to processing,” Proceedings of the IEEE, vol. 65, pp. 1428–1443, 1977, http://dx.doi.org/10.1109/PROC.1977.10747.
- T. Nakatani, M. Miyoshi, and K. Kinoshita, “One microphone blind dereverberation based on quasi-periodicity of speech signals,” in Advances in Neural Information Processing Systems 16, S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2003, p. None. [Online]. Available: http://books.nips.cc/papers/files/nips16/NIPS2003_SP06.pdf
- C. Evers, “Blind dereverberation of speech from moving and stationary speakers using sequential Monte Carlo methods,” Ph.D. dissertation, The University of Edinburgh (United Kingdom, 2010.
- H. Attias, J. Platt, A. Acero, and L. Deng, “Speech denoising and dereverberation using probabilistic models,” November 2000. [Online]. Available: https://www.microsoft.com/en-us/research/publication/speech-denoising-and-dereverberation-using-probabilistic-models/
- N. Cvejic and T. Seppanen, Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks. Hershey, PA, USA: IGI Global, 2007, http://dx.doi.org/10.4018/978-1-59904-513-9.
- G. Chardon, T. Nowakowski, J. de Rosny, and L. Daudet, “A blind dereverberation method for narrowband source localization,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 5, pp. 815–824, Aug 2015, http://dx.doi.org/10.1109/JSTSP.2015.2422673.
- K. Imoto and N. Ono, “Spatial cepstrum as a spatial feature using a distributed microphone array for acoustic scene analysis,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 6, pp. 1335–1343, 2017, http://dx.doi.org/10.1109/TASLP.2017.269059.