Audio Hiding based on Wavelet Transform and Linear Predictive Coding
DOI:
https://doi.org/10.25195/ijci.v42i1.81Keywords:
Steganography, Linear Predictive Coding (LPC), and Wavelet TransformAbstract
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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