Robust audio watermarking using perceptual masking
Signal Processing
Proceedings of the First International Workshop on Information Hiding
Detecting Digital Forgeries Using Bispectral Analysis
Detecting Digital Forgeries Using Bispectral Analysis
Robust spread-spectrum audio watermarking
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
An integrated on-line audio watermark decoding scheme for broadcast monitoring
Multimedia Tools and Applications
Audio Watermarking Based on Advanced Wigner Distribution and Important Frequency Peaks
International Journal of High Performance Computing Applications
A robust content based audio watermarking using UDWT and invariant histogram
Multimedia Tools and Applications
On the music content authentication
Proceedings of the 20th ACM international conference on Multimedia
Multimedia Tools and Applications
A novel speech content authentication algorithm based on Bessel-Fourier moments
Digital Signal Processing
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The objective of this paper is to detect speech forgery using digital audio watermarking and pattern recovery techniques. A digital watermark pattern has been attached with the speech signal to detect three kinds of alterations or forgeries such as substitution, insertion, and removal. The watermark pattern will be modified if some changes have been made to the speech contents. Modification and forgery can be measured and detected by pattern recovery. The proposed method uses the cyclic pattern embedding to overcome synchronizing problems of previous detection techniques. In addition, pattern recovery enhances the robustness to compression. This method has been tested and verified using six recording devices, which was used for collecting verbal data. The speech signals were sampled at the rate of 8kHz and digitized at 16bits resolution. Randomly chosen regions were substituted, removed, and compressed in MP3 at the rate of 16kbps as well as in CELP at the rate of 11.5kbps. The experiment shows the perfect detection for three kinds of forgeries and it proved the validity of the proposed method.