BirdsSong: A stylized generative audio steganography

IF 4.9 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Sanfeng Zhang , Baiyu Tian , Yang Gao , Mengyao Dai , Wang Yang
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引用次数: 0

Abstract

Recent advancements in stylish content generation technologies have revolutionized image synthesis, enabling the creation of high-resolution images with precise control. Motivated by this progress, we present BirdsSong, a novel audio steganography framework. BirdsSong aims to improve steganalysis resistance, increase steganographic capacity, enhance audio quality, and diversify styles compared to traditional methods. The framework includes an audio style extractor to separate content and style, a generator to combine style and content vectors without damaging audio quality, and a message extractor to recover the secret message accurately. Experimental results demonstrate that BirdsSong outperforms baseline methods in steganographic capacity, audio quality, style diversity, and resistance to steganalysis tools.
一种程式化的生成式音频隐写术
时尚内容生成技术的最新进展彻底改变了图像合成,使创建具有精确控制的高分辨率图像成为可能。基于这一进展,我们提出了一种新的音频隐写框架BirdsSong。与传统方法相比,BirdsSong旨在提高隐写能力,提高隐写能力,提高音频质量,并使风格多样化。该框架包括一个分离内容和样式的音频样式提取器,一个在不破坏音频质量的情况下组合样式和内容向量的生成器,以及一个准确恢复秘密消息的消息提取器。实验结果表明,BirdsSong在隐写能力、音频质量、风格多样性和抗隐写工具方面优于基线方法。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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