Audio Hiding based on Wavelet Transform and Linear Predictive Coding | ||
| Iraqi Journal for Computers and Informatics ijci | ||
| Article 1, Volume 42, Issue 1, December 2016, Pages 30-37 | ||
| Authors | ||
| Saad Najim Al-Saad; Jamal Nasir Hasoon | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Audio; Hiding; Wavelet; Transform; Linear; PREDICTIVE; Coding | ||
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