Statistical Audio Watermarking Algorithm Based on Auditory Analysis in Wavelet Packet Domain

QUAN Xiao-mei; ZHANG Hong-bin

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Statistical Audio Watermarking Algorithm Based on Auditory Analysis in Wavelet Packet Domain

更新时间：2025-07-16

- Statistical Audio Watermarking Algorithm Based on Auditory Analysis in Wavelet Packet Domain
- Acta Electronica Sinica Vol. 35, Issue 4, Pages: 673-678(2007)
- 作者机构：
  
  北京工业大学计算机学院,北京,100022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2007
- 稿件说明：
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QUAN Xiao-mei, ZHANG Hong-bin. Statistical Audio Watermarking Algorithm Based on Auditory Analysis in Wavelet Packet Domain[J]. Acta Electronica Sinica, 2007, 35(4): 673-678.
DOI：

QUAN Xiao-mei, ZHANG Hong-bin. Statistical Audio Watermarking Algorithm Based on Auditory Analysis in Wavelet Packet Domain[J]. Acta Electronica Sinica, 2007, 35(4): 673-678. DOI：

摘要

现有的统计音频水印算法对不可感知性缺乏保证.本文根据宿主音频信号的感知和统计特性

提出一种统计音频水印算法.该算法利用自适应小波包分解对宿主音频信号进行听觉感知特性分析

在小波包域内直接计算掩蔽阈值

并用其控制水印的嵌入强度.该算法采用统计方法自适应地在听觉感知重要的有调成份上嵌入水印

保证了水印的不可感知性和鲁棒性.水印检测错误率分析和实验结果表明本文算法能保证音频感知质量并能抵抗各种攻击.

Abstract

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.

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