Joint time-frequency analysis: methods and applications
Joint time-frequency analysis: methods and applications
IBM Systems Journal
Robust audio watermarking using perceptual masking
Signal Processing
H204M — watermarking for media: classification, quality evaluation, design improvements
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Proceedings of the First International Workshop on Information Hiding
Multipurpose Audio Watermarking
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
A temporal domain audio watermarking technique
IEEE Transactions on Signal Processing
An SVD-based watermarking scheme for protecting rightful ownership
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
A robust watermarking system based on SVD compression
Proceedings of the 2006 ACM symposium on Applied computing
Image watermarking in the autocorrelation domain
Proceedings of the 4th ACM international workshop on Contents protection and security
International Journal of Advanced Media and Communication
A new adjustable blind watermarking based on GA and SVD
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
Hybrid SVD-based audio watermarking scheme
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Blind and robust audio watermarking scheme based on SVD-DCT
Signal Processing
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
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We present a non-oblivious, extremely robust watermarking scheme for audio signals. The watermarking algorithm is based on the SVD of the spectrogram of the signal. The SVD of the spectrogram is modified adaptively according to the information to be watermarked. The algorithm is tested for inaudibility performance with audio quality measures and robustness tests with audio Stirmark benchmark tool, which have a variety of common signal processing distortions. The comparison with a DCT based non-oblivious based method shows that the proposed SVD based method performs very satisfactorily.