DWT-GBT-SVD-based Robust Speech Steganography

TL;DR

This paper introduces a novel speech steganography technique combining DWT, GBT, and SVD that effectively hides messages in audio signals, maintaining imperceptibility and robustness against various attacks.

Contribution

It presents a new robust speech steganography method using DWT, GBT, and SVD, with a focus on embedding in voiced frames for improved security.

Findings

Imperceptible to human hearing

Robust against noise, compression, and filtering

Effective in watermarking applications

Abstract

Steganography is a method that can improve network security and make communications safer. In this method, a secret message is hidden in content like audio signals that should not be perceptible by listening to the audio or seeing the signal waves. Also, it should be robust against different common attacks such as noise and compression. In this paper, we propose a new speech steganography method based on a combination of Discrete Wavelet Transform, Graph-based Transform, and Singular Value Decomposition (SVD). In this method, we first find voiced frames based on energy and zero-crossing counts of the frames and then embed a binary message into voiced frames. Experimental results on the NOIZEUS database show that the proposed method is imperceptible and also robust against Gaussian noise, re-sampling, re-quantization, high pass filter, and low pass filter. Also, it is robust against MP3 compression and scaling for watermarking applications.