Time-Scale Invariant Audio Data Embedding

We propose a novel algorithm for high-quality data embedding in audio. The algorithm is based on changing the relative length of the middle segment between two successive maximum and minimum peaks to embed data. Spline interpolation is used to change the lengths. To ensure smooth monotonic behavior between peaks, a hybrid orthogonal and nonorthogonal wavelet decomposition is used prior to data embedding. The possible data embedding rates are between 20 and 30 bps. However, for practical purposes, we use repetition codes, and the effective embedding data rate is around 5 bps. The algorithm is invariant after time-scale modification, time shift, and time cropping. It gives high-quality output and is robust to mp3 compression.

[1]  Mohamed F. Mansour,et al.  Time-Scale Invariant Audio Data Embedding , 2003, EURASIP J. Adv. Signal Process..

[2]  John F. Tilki.  Encoding a Hidden Digital Signature onto an Audio Signal Using Psychoacoustic Masking , 1998 .

[3]  Mohamed F. Mansour,et al.  Convolutional decoding for channels with false alarms , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Mohamed F. Mansour,et al.  Efficient decoding of watermarking schemes in the presence of false alarms , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[5]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[6]  Ioannis Pitas,et al.  Robust audio watermarking in the time domain , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[7]  Yo-Sung Ho,et al.  Digital audio watermarking in the cepstrum domain , 2000, IEEE Trans. Consumer Electron..

[8]  Darko Kirovski,et al.  Robust spread-spectrum audio watermarking , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[9]  Neil J. Hurley,et al.  Informed audio watermarking scheme using digital chaotic signals , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[10]  Ahmed H. Tewfik,et al.  Current state of the art, challenges and future directions for audio watermarking , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[11]  Walter Bender,et al.  Techniques for Data Hiding , 1996, IBM Syst. J..

[12]  B. P. Lathi,et al.  Modern Digital and Analog Communication Systems , 1983 .

[13]  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).

[14]  Ahmed H. Tewfik,et al.  Data hiding for video-in-video , 1997, Proceedings of International Conference on Image Processing.

[15]  Jin Woo Hong,et al.  Audio watermarking for copyright protection of digital audio data , 2001 .