Robust and high-quality time-domain audio watermarking subject to psychoacoustic masking

We propose in this paper a new method for embedding digital watermarks into audio signals in the time domain. By testing frequency domain characteristics (i.e., the psychoacoustic model) and making appropriate adjustments, our algorithm is capable of preventing watermark disturbance from human perception. A watermark can be extracted without the knowledge of original audio signals. Experiments show that our watermarking scheme leads to results with good audio quality (comparable to the original ones, according to some subjective tests) and is robust (more than 98% of survival rate) to pirate attacks, such as MP3 compression, low-pass filtering, amplitude normalization, DAVAD same-rate reacquisition, and cropping