On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains

Author

Eslami, Ramin ; Deller, J.R., Jr. ; Radha, Hayder

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI

fYear

2006

fDate

9-12 July 2006

Firstpage

1369

Lastpage

1372

Abstract

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

Keywords

Gaussian distribution; Monte Carlo methods; discrete cosine transforms; maximum likelihood detection; probability; speech processing; watermarking; wavelet transforms; Cauchy probability model; DCT domain; GGD; GLRT; LMP approach; Monte Carlo simulation; blind multiplicative watermark detection; discrete cosine transform; generalized Gaussian distribution; generalized likelihood ratio test; speech signal; wavelet domain; Detectors; Discrete cosine transforms; Discrete wavelet transforms; Gaussian distribution; Light rail systems; Speech; Spread spectrum communication; Testing; Watermarking; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2006 IEEE International Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0366-7

Electronic_ISBN

1-4244-0367-7

Type

conf

DOI

10.1109/ICME.2006.262793

Filename

4036863