Covert speech communication through audio
Objective
Implement audio steganography using Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for embedding and extraction with audio files.
Abstract
In this paper, a covert speech communication technique through a semi-blind audio steganography algorithm using discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed. This method securely transmits the speech signal by embedding its singular values (SV) in a cover audio. The cover audio is decomposed using fifth level DWT and embedding is performed in SV matrix of approximate coefficients to achieve good imperceptibility and robustness to the attacks. The performance of the proposed algorithm is evaluated by conducting imperceptibility and robustness tests on various speech signals. The experimental results show that the secret speech is reconstructed with high SNR, correlation and Perceptual Evaluation of Speech Quality (PESQ) score even the stego audio is subjected to various attacks. It is observed that under no attack conditions the correlation coefficient (NCC) is 1.0, SNR and PESQ of reconstructed secret audio is 70.58 and 4.49, respectively.
Keywords: Covert Communication, Imperceptibility, PESQ, SNR, Robustness.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is Signal Processing?
· About Signal Processing
· Introduction to Signal Processing
· How analog and digital signal is formed
· Importing the signal via signal acquisition tools
· Analyzing and manipulation of signals.
· Phases of signal processing:
· Acquisition
· Signal enhancement
· Signal restoration
· Medical Signal Processing
· Medical Signal Analysis
· Medical Signal Diagnosis
· Filtering techniques
· Machine Learning Algorithms
· Deep Learning Algorithms etc.
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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