Trellis-Coded Rational Dither Modulation for Digital Watermarking

2005 ◽  
pp. 351-360 ◽  
Author(s):  
A. Abrardo ◽  
M. Barni ◽  
F. Pérez-González ◽  
C. Mosquera
Keyword(s):  
Digital Watermarking ◽  
Dither Modulation ◽  
Trellis Coded ◽  
Rational Dither Modulation

Rational dither modulation: a high-rate data-hiding method invariant to gain attacks

2005 ◽  
Vol 53 (10) ◽  
pp. 3960-3975 ◽  
Author(s):  
F. Perez-Gonzalez ◽  
C. Mosquera ◽  
M. Barni ◽  
A. Abrardo
Keyword(s):  
Data Hiding ◽  
High Rate ◽  
Rate Data ◽  
Dither Modulation ◽  
Rational Dither Modulation

scholarly journals Data hiding in audio signal using Rational Dither Modulation

2008 ◽  
Vol 5 (7) ◽  
pp. 217-222 ◽  
Author(s):  
Jose Juan Garcia-Hernandez ◽  
Mariko Nakano-Miyatake ◽  
Hector Perez-Meana
Keyword(s):  
Data Hiding ◽  
Audio Signal ◽  
Dither Modulation ◽  
Rational Dither Modulation

scholarly journals Speech Watermarking for Tampering Detection Based on Modifications to LSFs

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xiangning Chen ◽  
Weitao Yuan ◽  
Shengbei Wang ◽  
Chao Wang ◽  
Lin Wang
Keyword(s):  
Auditory System ◽  
Digital Watermarking ◽  
Linear Prediction ◽  
Speech Signals ◽  
Quantization Index Modulation ◽  
Tampering Detection ◽  
Speech Watermarking ◽  
Dither Modulation ◽  
Detection Approach ◽  
Index Modulation

There have been serious issues concerning the protection of speech signals from malicious tampering. Digital watermarking has been paid much attention in solving this problem. This paper proposes a tampering detection approach based on speech watermarking by modifying the line spectral frequencies (LSFs). Watermarks are embedded into LSFs that derived from linear prediction (LP) analysis with dither modulation-quantization index modulation (DM-QIM). Minor modifications to LSFs introduced by quantization not only enable the watermarks to be inaudible to human auditory system but also provide the possibility of robustness against meaningful processing and fragility against tampering. We evaluated the proposed approach with objective evaluations with respect to inaudibility, robustness, and fragility. The results indicated that the proposed approach for tampering detection not only satisfied inaudibility but also provided good robustness against meaningful processing and fragility against malicious tampering.

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