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Audio Steganography Coding Using the Discreet Wavelet Transforms
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International Journal of Computer Science and Security (IJCSS)
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Volume:  6    Issue:  1
Pages:  
Publication Date:   February 2012
ISSN (Online): 1985-1553
Pages 
79 - 93
Author(s)  
Siwar Rekik - France
Driss Guerchi - UAE
Habib Hamam - Canada
 
Published Date   
21-02-2012 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Speech Compression, Steganography, Discreet Wavelet Transform (DWT) 
 
 
This Manuscript is indexed in the following databases/websites:-
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The performance of audio steganography compression system using discreet wavelet transform (DWT) is investigated. Audio steganography coding is the technology of transforming stego-speech into efficiently encoded version that can be decoded in the receiver side to produce a close representation of the initial signal (non compressed). Experimental results prove the efficiency of the used compression technique since the compressed stego-speech are perceptually intelligible and indistinguishable from the equivalent initial signal, while being able to recover the initial stego-speech with slight degradation in the quality . 
 
 
 
1 Petitcolas, Fabian A.P.; Katzenbeisser, Stefan. “Information Hiding Techniques for Steganography and Digital Watermarking”. Artech House Publishers. ISBN 1-58053-035-4. (2000).
2 Johnson, N.F. Jajodia, S. "Exploring steganography: Seeing the unseen," IEEE Computer 31 (2), pp.26–34, 1998.
3 S. I. Gel’fand and M. S. Pinsker, “Coding for channel with random parameters,” Prob. of Control and Inform. Theory, vol. 9, no. 1, pp. 19–31, 1980.
4 N. F. Johnson and S. Katzenbeisser. “Information hiding - a survey”, Artech House, Norwood, MA, 2000.
5 Oppenheim, Alan V.; Schafer, Ronald W.; Buck, John A. (1999). Discrete-time signal processing. Upper Saddle River, N.J.: Prentice Hall. pp. 468–471. ISBN 0-13-754920-2.
6 D. Sinha and A. H. Tewfik, “Low bit rate transparent audio compression using adapted wavelets,” IEEE Transactions on Signal Processing, vol. 41, no. 12, pp. 3463–3479, 1993.
7 P. Srinivasan and L. H. Jamieson, "High Quality Audio Compression using an Adaptive Wavelet Packet decomposition and Psychoacoustic Modelling," IEEE Transactions on Signal Processing , Vol. 46, No. 4, April 1998, pp. 1085-1093.
8 1/C Chris Eubanks, “Haar Wavelets, Image Compression, and Multi-Resolution Analysis”, Initial Report for Capstone Paper, SM422 April 4, 2007.
9 G.Amara “An introduction to Wavelets”, IEEE Computational Science and Engineering, 1995, vol. 2, num. 2.
10 G.Tzanetakis, G. Essl, P. Cook,” Audio Analysis using the Discrete Wavelet Transform”, conference on Signal Processing, 2001.
11 M.L. Hilton, R.T, Ogden, “Data analytic wavelet threshold selection in 2-D signal denoising”, Signal Processing, IEEE Transactions on, Issue 2, pages 496-500, August 2002.
12 G. Kronquist and H. Storm, "Target Detection with Local Discriminant Bases and Wavelets," Proc. of SPIE, v. 3710, pp 675-683, 1999.
13 M. Misiti,Y.Misiti, G.Oppenheim and J-M Poggi,”Wavelet Toolbox™ 4 User’s Guide”, The Math Works Inc., 2000.
14 B. Lin, B. Nguyen and E.T. Olsen, “Orthogonal Wavelets and Signal Processing”, Signal Processing Methods for Audio, Images and Telecommunications,P.M.Clarkson and H.Stark, ed., Academic Press, London, 1995, pp. 1-70.
15 S. Mallat, “A Wavelet Tour of Signal Processing”, Academic Press, San Diego, Calif., 1998.
16 J.I. Agbinya, “Discrete Wavelet Transform Techniques in Speech Processing”,IEEE Tencon Digital Signal Processing Applications Proceedings, IEEE, New York, NY, 1996, pp 514- 519.
17 H.Shahina and T. Takara, “Performance Comparison of DaubechiesWavelet Family for Bangla Vowel Synthesis”, JOURNAL OF COMPUTING, VOLUME 3, ISSUE 9, SEPTEMBER 2011, ISSN 2151-9617.
18 Y. Nievergelt, “Wavelets made easy”, Birkhäuser, Boston, 1999.
19 J. Ooi and V. Viswanathan, “Applications of Wavelets to Speech Processing”, Modern Methods of Speech Processing, R.P. Ramachandran and R. Mammone, ed., Kluwer Academic Publishers, Boston, 1995, pp. 449-464.
20 Cai, T. and Silverman, B. W. “Incorporating information on neighboring coefficients into wavelet estimation”, (1999).
21 Coifman, R.R. and Donoho, D.L. (1995). Translation invariant denoising. In A. Antoniadis and G. Oppenheim (eds),Wavelets and Statistics, Lecture Notes in Statistics 103. NewYork: Springer-Verlag, pp. 125–150.
22 M.M. Amin, M. Salleh, S. Ibrahim, et al., “Information Hiding Using Steganography”, 4 th National Conference On Telecommunication Technology Proceedings (NCTT2003), Shah Alam, Malaysia, pp. 21-25, January 14-15, 2003.
23 R.Siwar, G.Driss, S.Sid-Ahmed, H. Habib “Speech Steganography using Wavelet and Fourier Transforms” EURASIP Journal on Audio, Speech, and Music Processing, Accepted.
24 Steganos, http://www.steganos.com.
25 http://steghide.sourceforge.net/
26 J.I. Agbinya, .Discrete Wavelet Transform Techniques in Speech Processing,.IEEE Tencon Digital Signal Processing Applications Proceedings, IEEE, New York, NY, 1996, pp 514- 519.
27 A.Jayaraman ,P.Indumathy ,”A New Threshold Calculation Approach in the Performance Enhancement of Spread Spectrum System Using Double Density Discrete Wavelet Filter” Communications in Computer and Information Science, 2010, Volume 101, Part 3, 654- 659, DOI: 10.1007/978-3-642-15766-0_115.
28 E.B. Fgee, W.J. Phillips, W. Robertson, .Comparing Audio Compression using Wavelets with other Audio Compression Schemes,. IEEE Canadian Conference on Electrical and Computer Engineering, IEEE, Edmonton, Canada, 1999, pp. 698-701.
29 W. Kinsner and A. Langi, “Speech and Image Signal Compression with Wavelets”,. IEEE Wescanex Conference Proceedings, IEEE, New York, NY, 1993, pp. 368-375.
30 B. Lin, B. Nguyen and E.T. Olsen, “Orthogonal Wavelets and Signal Processing”,.Signal Processing Methods for Audio, Images and Telecommunications, P.M.Clarkson and H.Stark, ed., Academic Press, London, 1995, pp. 1-70.
31 Hu, Y. and Loizou, P. “Subjective evaluation and comparison of speech enhancement algorithms,” Speech Communication, 2007, 49, 588-601.
32 Hu, Y. and Loizou, P. “Evaluation of objective quality measures for speech enhancement,” IEEE Transactions on Speech and Audio Processing, 2008, 16(1), 229-238.
33 Ma, J., Hu, Y. and Loizou, P. "Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions", Journal of the Acoustical Society of America, 2009,125(5), 3387-3405
 
 
 
 
 
 
 
 
Siwar Rekik : Colleagues
Driss Guerchi : Colleagues
Habib Hamam : Colleagues
Sid-Ahmed Selouani : Colleagues  
 
 
 
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