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《Acta Electronica Sinica》 2007-04
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Statistical Audio Watermarking Algorithm Based on Auditory Analysis in Wavelet Packet Domain

QUAN Xiao-mei,ZHANG Hong-bin(Computer Institute,Beijing University of Technology,Beijing 100022,China)  
Current statistical audio watermarking can't guarantee imperceptibility.The proposed scheme in this paper uses a statistical method to embed watermark in the tonal components in wavelet packet domain and integrates psychoacoustic analysis to control watermark strength,which makes watermark inaudible.Error detection rate analysis and experimental results show that the proposed method is inaudible and sustainable against common signal processing manipulations and malicious attacks.
【Fund】: 国家自然科学基金(No.60075002);; 国家“863”高技术研究发展计划基金(No.2003AA144080)
【CateGory Index】: TP309.7
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