Title :
Robust algorithm for watermark recovery from cropped speech
Author :
Gurijala, Aparna ; Deller, J.R., Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Most digital watermarking techniques are susceptible to damage by data cropping. Although the effects of cropping might not be perceptible, watermark recovery may be rendered difficult or impossible due to the desynchronization of the recovery process. The transform encryption coding (TEC) based watermarking algorithm was presented at ICASSP 2000 (see Ruiz, F.J. and Deller, J.R., Jr, IEEE International Conference on Acoustics, Speech and Signal Processing 2000). This paper investigates the performance of TEC watermarking in the presence of cropping, and presents an algorithm that identifies cropped samples and recovers watermarks from the damaged record. Implementation details and experimental results under different environmental conditions are presented
Keywords :
copy protection; cryptography; speech coding; transform coding; cropped speech; data cropping; digital watermarking techniques; recovery process desynchronization; transform encryption coding; watermark recovery; Costs; Cryptography; Energy measurement; Filters; Gain measurement; Robustness; Security; Signal processing; Speech processing; Watermarking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941180
