基于移动通信电路域的语音信息隐藏算法

doi:10.13190/j.jbupt.2017-021

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (6): 57-64.doi: 10.13190/j.jbupt.2017-021

基于移动通信电路域的语音信息隐藏算法

薛一鸣¹, 何宁宁¹, 陈鹞¹, 胡彩娥², 牛少彰³

1. 中国农业大学信息与电气工程学院, 北京 100083;
2. 国网北京市电力公司, 北京 100031;
3. 北京邮电大学计算机学院, 北京 100876

收稿日期:2017-03-08 出版日期:2017-12-28 发布日期:2017-12-28
作者简介:薛一鸣(1968-),男,副教授,硕士生导师,E-mail:xueym@cau.edu.cn.
基金资助:
国家自然科学基金项目（U1536121）

Speech Hiding Algorithm Based on Mobile Circuit-Switched Domain

XUE Yi-ming¹, HE Ning-ning¹, CHEN Yao¹, HU Cai-e², NIU Shao-zhang³

1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;
2. State Grid Beijing Electric Power Company, Beijing 100031, China;
3. School of Computer Science, Beijing University of Posts and Telecommunication, Beijing 100876, China

Received:2017-03-08 Online:2017-12-28 Published:2017-12-28
Supported by:

摘要/Abstract

摘要： 通过分析移动通信电路域语音信道的结构特点，提出了一种适用于移动通信电路域信道的抗语音声码器断续传输（DTX）处理和有损压缩的语音信息隐藏算法.选择经语音端点检测判决为浊音帧的有效语音信号进行3级小波分解，选择第3级小波细节系数做快速傅里叶变换（FFT）后，在表征频带0.5~1 kHz的FFT系数上根据听觉掩蔽理论对秘密信息进行量化抖动调制嵌入，实现秘密信息在语音中的隐藏.实验结果表明，该算法模型在10 bit/s上限容量时，携密语音质量评价分数高于3.48，经过全球移动通信系统增强型全速率声码器的DTX技术处理、有损压缩以及信道中存在的其他干扰后，误码率保持在0.06左右.

关键词: 语音信息隐藏, 断续传输, 语音端点检测, 有损压缩

Abstract: Based on analysis of circuit-switched mobile channels, an algorithm for speech information hiding was proposed, which is robust for the speech vocoder discontinuous transmission (DTX) mechanism and the lossy compression. The algorithm performs 3-level discrete wavelet transform decomposition on the voiced speech frames decided by voice activity detector, and selects the 3rd level detail coefficients to implement fast Fourier transform(FFT). By means of the auditory masking theory, the rational dither modulation is used to embed the secret data on FFT coefficients within the frequency band of 0.5~1 kHz. The experimental results show that the Perceptual evaluation of speech quality score of stego speech is higher than 3.48, and the bit error rate is about 0.06 under the interference of DTX of the global system for mobile communication enhanced full rate vocoder, the lossy compression and some other attacks in the channels.

Key words: speech information hiding, discontinuous transmission, voice activity detector, lossy compression

中图分类号:

TN91

薛一鸣, 何宁宁, 陈鹞, 胡彩娥, 牛少彰. 基于移动通信电路域的语音信息隐藏算法[J]. 北京邮电大学学报, 2017, 40(6): 57-64.

XUE Yi-ming, HE Ning-ning, CHEN Yao, HU Cai-e, NIU Shao-zhang. Speech Hiding Algorithm Based on Mobile Circuit-Switched Domain[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(6): 57-64.

参考文献

[1] 白剑, 曹鹏. 语音信息隐藏容量研究[J]. 北京邮电大学学报, 2016, 39(S1):76-80. Bai Jian, Cao Peng. Capacity estimation research for speech information hiding[J]. Journal of Beijing University of Posts and Telecommunications, 2016, 39(S1):76-80.
[2] Kazemi R, Rezaei R, Akhaee M A, et al. Covert communications through mobile voice channels[J]. IET Information Security, 2016, 10(3):156-164.
[3] Yan Shu-fan, Tang Guang-ming, Chen Yan-ling. Incorporating data hiding into G. 729 speech codec[J]. Multimedia Tools & Applications, 2016, 75(18):11493-11512.
[4] Ahani S, Ghaemmaghami S, Z. Jane Wang. A sparse representation-based wavelet domain speech steganography method[J]. IEEE/ACM Transactions on Audio Speech & Language Processing, 2015, 23(1):80-91.
[5] Rekik S, Guerchi D, Selouani S A, et al. Speech steganography using wavelet and Fourier transforms[J]. Eurasip Journal on Audio Speech & Music Processing, 2012(1):20.
[6] Paulin C, Selouani S, Hervet É. Audio steganalysis using deep belief networks[J]. International Journal of Speech Technology, 2016, 19(3):1-7.
[7] Ghasemzadeh H, Khass M T, Arjmandi M K. Audio steganalysis based on reversed psychoacoustic model of human hearing[J]. Digital Signal Processing, 2016(51):133-141.
[8] He Xing, Scordilis M S. An enhanced psychoacoustic model based on the discrete wavelet packet transform[J]. Journal of the Franklin Institute, 2006, 343(7):738-755.
[9] Hu Hwai Tsu, Hsu L Y. Robust, transparent and high-capacity audio watermarking in DCT domain[J]. Signal Processing, 2015(109):226-235.
[10] Hu Hwai Tsu, Hsu L Y. A DWT-based rational dither modulation scheme for effective blind audio watermarking[J]. Circuits, Systems, and Signal Processing, 2016, 35(2):553-572.
[11] Wang Xiang-yang, Zhao Hong. A novel synchronization invariant audio watermarking scheme based on DWT and DCT[J]. IEEE Transaction on Signal Processing, 2006, 54(12):4835-4840.
[12] Wang Xinkai, Wang Pengjun, Zhang Peng, et al. A blind audio watermarking algorithm by logarithmic quantization index modulation[J]. Multimedia Tools and Applications, 2014, 71(3):1157-1177.

基于移动通信电路域的语音信息隐藏算法

Speech Hiding Algorithm Based on Mobile Circuit-Switched Domain

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	吴新忠, 夏令祥, 张旭, 周成. 基于谱熵梅尔积的语音端点检测方法[J]. 北京邮电大学学报, 2019, 42(2): 83-89.
[2]	袁开国1，杨亚涛1,2，张茹1，钮心忻1，杨义先1. 一种基于人耳听觉模型的窄带音频信息隐藏算法[J]. 北京邮电大学学报, 2006, 29(s2): 101-104.