Embedding Limitations with Digital-audio Watermarking Method Based on Cochlear Delay Characteristics

We comparatively evaluated the proposed approach for inaudible audio watermarking with four typical methods (LSB, DSS, ECHO, and PPM) by carrying out objective (PEAQ and LSD) and subjective (inaudibility) evaluations, bit-detection test, and robustness tests (signal modifications and StirMark benchmark). The results of evaluations revealed that subjects could not detect the embedded data in any of the watermarked signals we used, and that the proposed approach could precisely and robustly detect the embedded data from the watermarked signals. We also investigated embedding limitations with our proposed method and improved the method by designing a parallel architecture for cochlear delay filters. We then evaluated our proposed and improved methods to investigate embedding limitations by carrying out five tests: LSD, PEAQ, bit-detection, and two robustness tests (signal modifications and StirMark benchmark). The results revealed that the methods could be used to inaudibly embed the watermarks into original signals and to accurately and robustly detect the embedded data from the watermarked signals. We also found that embedding limitations with the improved method (M = 8) amounted to 384 bps while that with our proposed method (M = 2) amounted to 128 bps.

[1]  Masashi Unoki,et al.  Audio Watermarking Method Based on the Cochlear Delay Characteristics , 2008, 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[2]  Masashi Unoki,et al.  Judgment of perceptual synchrony between two pulses and verification of its relation to cochlear delay by an auditory model1 , 2008 .

[3]  Masataka Goto,et al.  RWC Music Database: Music genre database and musical instrument sound database , 2003, ISMIR.

[4]  Masashi Unoki,et al.  Method of digital-audio watermarking based on cochlear delay characteristics , 2013 .

[5]  Walter Bender,et al.  Echo Hiding , 1996, Information Hiding.

[6]  Waleed H. Abdulla,et al.  Perceptual evaluation of audio watermarking using objective quality measures , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Ahmed H. Tewfik,et al.  Digital watermarks for audio signals , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[8]  Jeng-Shyang Pan,et al.  Information Hiding and Multimedia Signal Processing , 2008, J. Digit. Inf. Manag..

[9]  Yôiti Suzuki,et al.  Blind detection of watermarks embedded by periodical phase shifts , 2004 .

[10]  Kuldip K. Paliwal,et al.  Usefulness of phase spectrum in human speech perception , 2003, INTERSPEECH.

[11]  Yôiti Suzuki,et al.  Multiple watermarks for stereo audio signals using phase-modulation techniques , 2005, IEEE Transactions on Signal Processing.

[12]  Kenji Ozawa,et al.  Monaural phase effects on timbre of two‐tone signals , 1993 .

[13]  G. Wilkinson The Journal of Laryngology and Otology THE SENSE OF HEARING , 2022 .

[14]  Eriko Aiba,et al.  Perceptual judgment in synchronization of two complex tones: Relation to the cochlear delays , 2007 .

[15]  B Kollmeier,et al.  Auditory brainstem responses with optimized chirp signals compensating basilar-membrane dispersion. , 2000, The Journal of the Acoustical Society of America.