An SVD-based adaptive robust speech steganography using MDCT coefficient
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An SVD-based adaptive robust speech steganography using MDCT coefficient Juan Wen1 · Hao Zeng1 · Yuzhu Wang1 · Shurong Liu1 · Yiming Xue1 Received: 4 April 2020 / Revised: 18 August 2020 / Accepted: 25 August 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Speech is one of the essential ways of communication. The study of speech steganography provides great value in information security. To improve imperceptibility and robustness of speech steganography, the characteristics of speech signals should be fully taken into account. In this paper, a robust speech steganographic scheme based on Singular Value Decomposition (SVD) and Modified Discrete Cosine Transform (MDCT) is proposed. Firstly, Voice Activity Detector (VAD) is used to detect voiced frames from speech signals, along with MDCT with Kaiser Bessel Derived (KBD) window being performed on each frame. Then the MDCT coefficients are selected from a certain frequency range and divided into a pair of segments. The two largest singular values of the paired segments are modified respectively according to their value difference to embed secret message. The thresholds are adaptively adjusted according to the largest singular values. Extensive experiments are carried out to compare the proposed method with three other methods from imperceptibility, robustness, capacity, and security. The experimental results show that under the simulation parameters β = 320, Nk =58, fl =100 Hz, fh =3 kHz, and α=0.61, the proposed method has striking advantages to resist common robust attacks and the state-of-the-art steganalysis attacks while maintaining good imperceptibility.
Grant No. 61872368 and No.61802410 Yiming Xue
[email protected] Juan Wen [email protected] Hao Zeng [email protected] Yuzhu Wang [email protected] Shurong Liu [email protected] 1
College of Information and Electrical Engineering, China Agricultural University, Beijing, China
Multimedia Tools and Applications
Keywords Speech steganography · Voice activity detector · Modified discrete cosine transform · Singular value decomposition · Robustness
1 Introduction Steganography, which embeds secret message into host signals, is an important way of secure communication. By this means, the secret message is embedded into cover objects and transmitted through public channels [3, 35]. Steganography has attracted remarkable attention from researchers due to its potential application in multimedia security. Generally, imperceptibility, embedding capacity and robustness are three important factors for steganography. However, it is challengeable to balance imperceptibility, payload, and robustness in the design of steganography methods. Because speech is an important way of communication, the study of speech steganography is of great value in information security. Generally, the speech steganography methods can be classified as two main categories [11]. The first is to embed secret message into the speech signal after vocoder, which is called the coding domain method [31].
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