Time-frequency-based speech regions characterization and eigenvalue decomposition applied to speech watermarking

Authors:
Irena Orović;Srdjan Stanković
Affiliations:
Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro;Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Year:
2010

Citing 5
Cited 0

About time-variant filtering of speech signals with time-frequency distributions for hands-free telephone systems

Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
VQ-based watermarking scheme with genetic codebook partition

Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Spread-spectrum watermarking of audio signals

IEEE Transactions on Signal Processing
Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter

IEEE Transactions on Signal Processing
Histogram-Based Audio Watermarking Against Time-Scale Modification and Cropping Attacks

IEEE Transactions on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

The eigenvalues decomposition based on the S-method is employed to extract the specific time-frequency characteristics of speech signals. This approach is used to create a flexible speech watermark, shaped according to the time-frequency characteristics of the host signal. Also, the Hermite projection method is applied for characterization of speech regions. Namely, time-frequency regions that contain voiced components are selected for watermarking. The watermark detection is performed in the time-frequency domain as well. The theory is tested on several examples.