2011Unpublished venueRequires access

A Spread Spectrum Audio Watermarking System with High Perceptual Quality

Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan

Open publisher page 5 citations

Abstract

We propose a system to embed watermark message into audio signal, which can be used for copyright protection. It uses spread spectrum theory to generate a watermark that resistants to different removal attempts. We exploit the psychoacoustic auditory model to guarantee the audio signal's perceptual quality after the watermark embedding procedure. Recovery is performed without knowledge of the original audio signal. We use different pseudo-random sequence in synchronization marks and watermark message to avoid the false synchronization in watermark message. Experimental results show that our watermarking scheme is robust against common signal processing attacks while keeps the watermarked audio a high perceptual quality.

About this research paper

What this paper is about

We propose a system to embed watermark message into audio signal, which can be used for copyright protection. It uses spread spectrum theory to generate a watermark that resistants to different removal attempts. We exploit the psychoacoustic auditory model to guarantee the audio signal's perceptual quality after the watermark embedding procedure. Recovery is performed without knowledge of the original audio signal. We use different pseudo-random sequence in synchronization marks and watermark message to avoid the false synchronization in watermark message. Experimental results show that our watermarking scheme is robust against common signal processing attacks while keeps the watermarked audio a high perceptual quality.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We propose a system to embed watermark message into audio signal, which can be used for copyright protection. It uses spread spectrum theory to generate a watermark that resistants to different removal attempts. We exploit the psychoacoustic auditory model to guarantee the audio signal's perceptual quality after the watermark embedding procedure. Recovery is performed without knowledge of the original audio signal. We use different pseudo-random sequence in synchronization marks and watermark message to avoid the false synchronization in watermark message. Experimental results show that our watermarking scheme is robust against common signal processing attacks while keeps the watermarked audio a high perceptual quality.

Key concepts: Watermark, Digital watermarking, Computer science, Audio signal, Synchronization (alternating current), Speech recognition, SIGNAL (programming language), Spread spectrum

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