Audio Hiding based on Wavelet Transform and Linear Predictive Coding

In this work an efficient method for hiding a speech in audio is proposed. The features of secret speech is extracted with LPC (Linear Predictive Coding), and these parameters embedded in audio in chaotic order. Discrete Wavelet Transform (DWT) is applied on audio frames to split the signal in high...

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Bibliographic Details
Main Authors: Jamal Hasoon, Saad Al-Saad
Format: Article
Language:Arabic
Published: University of Information Technology and Communications 2016-12-01
Series:Iraqi Journal for Computers and Informatics
Subjects:
Online Access:https://ijci.uoitc.edu.iq/index.php/ijci/article/view/81
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author Jamal Hasoon
Saad Al-Saad
author_facet Jamal Hasoon
Saad Al-Saad
author_sort Jamal Hasoon
collection DOAJ
description In this work an efficient method for hiding a speech in audio is proposed. The features of secret speech is extracted with LPC (Linear Predictive Coding), and these parameters embedded in audio in chaotic order. Discrete Wavelet Transform (DWT) is applied on audio frames to split the signal in high and low frequencies. The embedding parameters are embedded in high frequency. The stego audio is perceptually indistinguishable from the equivalent cover audio. The proposed method allows hiding a same duration of speech (secret) and audio (cover). The stego audio is subjected to objective tests such signal to noise ratio (SNR), signal to noise ratio segmental (SNRseg), Segmental Spectral SNR, Log Likelihood Ratio (LLR) and Correlation (Rxy) to determine the similarity with original audio.
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spelling doaj.art-cb49df3edbe74905adbf468fe1fe5eaa2023-10-25T07:52:40ZaraUniversity of Information Technology and CommunicationsIraqi Journal for Computers and Informatics2313-190X2520-49122016-12-01421303710.25195/ijci.v42i1.8164Audio Hiding based on Wavelet Transform and Linear Predictive CodingJamal Hasoon0Saad Al-Saad1University of Al Mustansiriyah University of Al MustansiriyahIn this work an efficient method for hiding a speech in audio is proposed. The features of secret speech is extracted with LPC (Linear Predictive Coding), and these parameters embedded in audio in chaotic order. Discrete Wavelet Transform (DWT) is applied on audio frames to split the signal in high and low frequencies. The embedding parameters are embedded in high frequency. The stego audio is perceptually indistinguishable from the equivalent cover audio. The proposed method allows hiding a same duration of speech (secret) and audio (cover). The stego audio is subjected to objective tests such signal to noise ratio (SNR), signal to noise ratio segmental (SNRseg), Segmental Spectral SNR, Log Likelihood Ratio (LLR) and Correlation (Rxy) to determine the similarity with original audio.https://ijci.uoitc.edu.iq/index.php/ijci/article/view/81steganography, linear predictive coding (lpc), and wavelet transform
spellingShingle Jamal Hasoon
Saad Al-Saad
Audio Hiding based on Wavelet Transform and Linear Predictive Coding
Iraqi Journal for Computers and Informatics
steganography, linear predictive coding (lpc), and wavelet transform
title Audio Hiding based on Wavelet Transform and Linear Predictive Coding
title_full Audio Hiding based on Wavelet Transform and Linear Predictive Coding
title_fullStr Audio Hiding based on Wavelet Transform and Linear Predictive Coding
title_full_unstemmed Audio Hiding based on Wavelet Transform and Linear Predictive Coding
title_short Audio Hiding based on Wavelet Transform and Linear Predictive Coding
title_sort audio hiding based on wavelet transform and linear predictive coding
topic steganography, linear predictive coding (lpc), and wavelet transform
url https://ijci.uoitc.edu.iq/index.php/ijci/article/view/81
work_keys_str_mv AT jamalhasoon audiohidingbasedonwavelettransformandlinearpredictivecoding
AT saadalsaad audiohidingbasedonwavelettransformandlinearpredictivecoding