AN OPTIMAL INFORMATION HIDING ALGORITHM FOR SPEECH IN THE FRACTIONAL FOURIER TRANSFORM DOMAIN

作     者：Xi Ji Zou Cairong Bao Yongqiang Wang Qingyun 

作者机构：School of Information Science and Engineering Southeast University Nanjing 210096 China College of Computer and Information Hohai University Changzhou 213022 China School of Communication Engineering Nanjing Institute of Technology Nanjing 21116 China 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2010年第27卷第4期

页      面：564-570页

学科分类：0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Natural Science Foundation of China (No. 60472058, No. 60975017) Jiangsu Provincial Natural Science Foundation (No. BK2008291) 

主　　题：Practional Fourier Transform (FrFT) Speech information hiding Minimum Mean Square Error (MMSE) 

摘      要：With the increasing requirement of military and security, the technology of information hiding for speech becomes a hotspot and difficulty in the fields of speech signal processing and in-formation security, which is developing rapidly. In order to stand against the stegano-analysis, the paper proposed an optimal information hiding algorithm for speech in the Fractional Fourier Transform (FrFT) domain based on the Minimum Mean Square Error (MMSE) criterion. The results of simulation and experiments show that speech modified by the proposed algorithm has no remarkable changes both in time and frequency domains, which can effectively resist the time and frequency analysis, Otherwise, the algorithm is robust to general signal process attack, and the difference is imperceptible between the original and modified speech.