Digital Watermarking of Audio Signals Using a Psychoacoustic Auditory Model and Spread Spectrum Theory
A new algorithm for embedding a digital watermark into an audio signal is proposed. It uses spread spectrum theory to generate a watermark resistant to different removal attempts, and a psychoacoustic auditory model to shape and embed the watermark into the audio signal while retaining the signal's perceptual quality. Recovery is performed without knowledge of the original audio signal. A software system is implemented and tested for perceptual transparency and data-recovery performance.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members, $5 for AES members and is free for E-Library subscribers.