自适应语音信息隐藏的小波方法

An Adaptive Information Hiding Algorithm of Digital Speech Signals Based on Wavelet Transform

语音信号作为一种特殊的信息隐藏载体,在其中进行信息隐藏时必须充分考虑人类的听觉特性。该文以小波变换为基础,提出了一种盲检测的自适应语音信息隐藏算法。该算法首先依据语音信号小波变换的系数来刻画不同语音段对人类听觉感知特性的影响,然后根据这种特征刻画来确定秘密信息的嵌入位置和强度,同时兼顾了鲁棒性和隐藏量的要求,最后以数字实验验证了该算法具有较好的信息隐藏性能。

To hide information in speech signal,which is a special kind of audio signals,one must consider the charac-teristics of human audio system.Based on wavelet transform,the current paper presents an adaptive information hiding algorithm.This algorithm employs wavelet coefficients to characterize and then to classify speech segments.The embedding positions and amounts of the secret data are determined by the different classed speech segments.Secret data can be detected and extracted without original speech signals.The experimental results show that the performance of the pro-posed scheme is very good.