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.
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https://aes2.org/publications/elibrary-page/?id=8107
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