Rights Protection for Relational Data
IEEE Transactions on Knowledge and Data Engineering
Integrated Computer-Aided Engineering - Artificial Neural Networks
Dual digital watermarking for internet media based on hybrid strategies
IEEE Transactions on Circuits and Systems for Video Technology
Robust multiplicative patchwork method for audio watermarking
IEEE Transactions on Audio, Speech, and Language Processing
Robust audio data hiding using correlated quantization with histogram-based detector
IEEE Transactions on Multimedia
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
An asymmetric subspace watermarking method for copyright protection
IEEE Transactions on Signal Processing
Audio watermarking: a way to stationnarize audio signals
IEEE Transactions on Signal Processing
Robust Data Hiding in Audio Using Allpass Filters
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Information Forensics and Security
Robust audio watermarking in the time domain
IEEE Transactions on Multimedia
A Robust Audio Watermark Representation Based on Linear Chirps
IEEE Transactions on Multimedia
Histogram-Based Audio Watermarking Against Time-Scale Modification and Cropping Attacks
IEEE Transactions on Multimedia
Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution
IEEE Transactions on Image Processing
Spatio-temporal resolution enhancement of vocal tract MRI sequences based on image registration
Integrated Computer-Aided Engineering
A wavelet-based particle swarm optimization algorithm for digital image watermarking
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Hi-index | 0.00 |
In this paper, we introduce a new multi-bit watermarking method for speech signals in the joint time-frequency domain. For this purpose, we compute the Wigner distribution of the speech signal and embed the watermark in a subset of time-frequency cells. The problem of synthesizing the signal from the watermarked Wigner distribution is discussed and a simple algorithm to reconstruct the speech signal from its Wigner distribution is proposed. The performance of the proposed watermarking algorithm is illustrated for sample attacks.