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2006 IEEE International Conference on Multimedia and Expo
On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
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Ramin Eslami, J. Deller, Hayder Radha, "On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains," Multimedia and Expo, IEEE International Conference on, pp. 1369-1372, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262793,
author = {Ramin Eslami and J. Deller and Hayder Radha},
title = {On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {1369-1372},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262793},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains
SN - 1-4244-0366-7
SP1369
EP1372
A1 - Ramin Eslami,
A1 - J. Deller,
A1 - Hayder Radha,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Ramin Eslami, ECE Department / 2120 EB, Michigan State University, East Lansing, MI 48824, USA. Email: eslamira@egr.msu.edu
J. Deller, ECE Department / 2120 EB, Michigan State University, East Lansing, MI 48824, USA. Email: deller@egr.msu.edu
Hayder Radha, ECE Department / 2120 EB, Michigan State University, East Lansing, MI 48824, USA. Email: radha@egr.msu.edu
Blind multiplicative watermarking schemes for speech signals using wavelets and discrete cosine transform are presented. Watermarked signals are modeled using a generalized Gaussian distribution (GGD) and Cauchy probability model. Detectors are developed employing generalized likelihood ratio test (GLRT) and locally most powerful (LMP) approach. The LMP scheme is used for the Cauchy distribution, while the GLRT estimates the gain factor as an unknown parameter in the GGD model. The detectors are tested using Monte Carlo simulation and results show the superiority of the proposed LMP/Cauchy detector in some experiments.
Citation:
Ramin Eslami, J. Deller, Hayder Radha, "On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains," icme, pp.1369-1372, 2006 IEEE International Conference on Multimedia and Expo, 2006
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