2003
DOI: 10.21608/asat.2013.24702
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Secured Communication Technique for Voice Messages

Abstract: In this paper, a proposed algorithm to secure a voice message for communication is presented. The proposed approach depends on embedding the voice message in another one. The wavelet transform is used as the tool for the hiding process. The performance of the proposed approach has been tested and evaluated via its application to hide different voice messages and subjectively the transmitted message is listened. The obtained results have shown that this algorithm is promising for secure voice communication.

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“…The proposed work is an extension to that reported in [11], and [12] in which authors have introduced methods to secure speech messages by embedding it into another one using the Discrete Wavelet Transform (DWT) In addition to applying the mentioned methodology to images and text data, which yield a generalized framework The wavelet transform is used as a basis for the embedding and detection processes because it facilitates separating the important components of the signal (or image) and utilizing the redundant components to replace it with the data which we want to embed. Three algorithms are proposed depending on the above approach to increase the amount of the embedded data (hiding capacity) with respect to the size of the cover (speech or image) without introducing perceptual degradation into the resultant stego signals or images.…”
Section: Least Significant Bit Substitution (Lsb)mentioning
confidence: 68%
“…The proposed work is an extension to that reported in [11], and [12] in which authors have introduced methods to secure speech messages by embedding it into another one using the Discrete Wavelet Transform (DWT) In addition to applying the mentioned methodology to images and text data, which yield a generalized framework The wavelet transform is used as a basis for the embedding and detection processes because it facilitates separating the important components of the signal (or image) and utilizing the redundant components to replace it with the data which we want to embed. Three algorithms are proposed depending on the above approach to increase the amount of the embedded data (hiding capacity) with respect to the size of the cover (speech or image) without introducing perceptual degradation into the resultant stego signals or images.…”
Section: Least Significant Bit Substitution (Lsb)mentioning
confidence: 68%