期刊文献+

Steganography algorithm for adaptive multi-rate wideband speech based on algebraic codebook search

Steganography algorithm for adaptive multi-rate wideband speech based on algebraic codebook search
原文传递
导出
摘要 With the popularity of adaptive multi-rate wideband (AMR-WB) audio in mobile communication, many AMR- WB based techniques, such as a similar compression architecture to transmit secret information during the process of compression, were proposed to transmit covert messages. However, if a sender does not have the original waveform audio format (WAV) audio, the architecture cannot be used. In this paper, a new covert message method, which takes effect after WAV audio is compressed into AMR-WB speech, is proposed. This method takes advantage of algebraic codebook search. Aiming at improving speed and reducing search space, it does not perform algebraic codebook search using the optimal search algorithm, and it does not reach the positions of non-zero pulses via depth-first tree search that characterizes the energy of audio. According to the features of search methods and the codebook index construction, every track in each subframe is analyzed to find the proper positions for embedding secret information. Experimental results show that the proposed method has satisfactory capacity and simplicity regardless of compression process. With the popularity of adaptive multi-rate wideband (AMR-WB) audio in mobile communication, many AMR- WB based techniques, such as a similar compression architecture to transmit secret information during the process of compression, were proposed to transmit covert messages. However, if a sender does not have the original waveform audio format (WAV) audio, the architecture cannot be used. In this paper, a new covert message method, which takes effect after WAV audio is compressed into AMR-WB speech, is proposed. This method takes advantage of algebraic codebook search. Aiming at improving speed and reducing search space, it does not perform algebraic codebook search using the optimal search algorithm, and it does not reach the positions of non-zero pulses via depth-first tree search that characterizes the energy of audio. According to the features of search methods and the codebook index construction, every track in each subframe is analyzed to find the proper positions for embedding secret information. Experimental results show that the proposed method has satisfactory capacity and simplicity regardless of compression process.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2018年第3期71-79,共9页 中国邮电高校学报(英文版)
基金 supported by the Fundamental Research Funds for the Central Universities (2016JX06) the National Natural Science Foundation of China (61472369)
关键词 steganography algorithm WAV audio compressed audio adaptive multi-rate wideband speech steganography algorithm WAV audio compressed audio adaptive multi-rate wideband speech
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部