A blind audio watermarking algorithm robust against synchronization attacks

Time Scale Modification, Mp3 Compression and random cropping are challenging problems in watermarking of audio signals. To overcome these signal processing attacks, an imperceptible, blind and secure audio watermarking algorithm is presented in this paper. The proposed algorithm calculates the watermark embedding regions (WER) based on the audio localized content analysis and then embeds watermark data in these selected regions. The selection of region of embedding is done by finding regions which are relatively invariant to synchronization attacks. This makes the embedded watermark robust to time stretching or compressing attacks. Multiresolution decomposition of the signal using wavelet domain is used in this paper for watermarking. Experimental results validate that the algorithm is robust to Time Scale Modification, Mp3 Compression and other audio signal processing attacks and maintains perceptual transparency to an accepted level with SNR above 30dB.

[1]  Ryuki Tachibana,et al.  Audio watermarking method robust against time- and frequency-fluctuation , 2001, IS&T/SPIE Electronic Imaging.

[2]  Xiao Zeng,et al.  Reversible Image Watermarking Using Interpolation Technique , 2010, IEEE Transactions on Information Forensics and Security.

[3]  Wen-Nung Lie,et al.  Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification , 2006, IEEE Transactions on Multimedia.

[4]  Yong Wang,et al.  Audio Watermarking Scheme Robust against Desynchronization Based on the Dyadic Wavelet Transform , 2010, EURASIP J. Adv. Signal Process..

[5]  Mohamed F. Mansour,et al.  Data embedding in audio using time-scale modification , 2005, IEEE Transactions on Speech and Audio Processing.

[6]  Rui Yang,et al.  Geometric Invariant Audio Watermarking Based on an LCM Feature , 2011, IEEE Transactions on Multimedia.

[7]  Yôiti Suzuki,et al.  Fuzzy self-adaptive digital audio watermarking based on time-spread echo hiding , 2008 .

[8]  Wen-Hsing Hsu,et al.  A Video Watermarking Technique Based on Pseudo-3-D DCT and Quantization Index Modulation , 2010, IEEE Transactions on Information Forensics and Security.

[9]  Zhifeng Zhang,et al.  Audio Watermarking Algorithm Robust to TSM Based on Counter Propagation Neural Network , 2009, 2009 2nd International Congress on Image and Signal Processing.

[10]  Oscal T.-C. Chen,et al.  Highly Robust, Secure, and Perceptual-Quality Echo Hiding Scheme , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[11]  Ryuki Tachibana.  Improving Audio Watermark Robustness Using Stretched Patterns against Geometric Distortion , 2002, IEEE Pacific Rim Conference on Multimedia.

[12]  Mohamed F. Mansour,et al.  Time-Scale Invariant Audio Data Embedding , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[13]  Saif alZahir,et al.  TSM resilient audio watermarking using IMFs , 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

[14]  Ja-Ling Wu,et al.  Unseen Visible Watermarking: A Novel Methodology for Auxiliary Information Delivery via Visual Contents , 2009, IEEE Transactions on Information Forensics and Security.

[15]  Abdel-Ouahab Boudraa,et al.  Audio Watermarking Via EMD , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[16]  Mohamed F. Mansour,et al.  Audio watermarking by time-scale modification , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).