Abstract: Thispaper focuses on audio-watermarking authentication and integrity-protection within the context of the speech-data transmitted over the Internet in a real-time learning environment.The Arabic Quran recitation through distance learning is used as a case-study example that is characteristic of sensitive data requiring robust authentication and integrity measures. Thisworkproposes an approach for the purpose ofauthenticating and validatingaudio-data transmitted by a publisher or during communications between an instructor and students reciting via Internet communications.The watermarking approach proposed here is based on detection of the key patternswithin the audio signal as an input to the algorithm before the embedding phase is performed.The developed application could be easily used at both sides of the communication for ensuring authenticity and integrity of the transmitted speech signal and is proved effective for many distance-learning applications that require low-complexity processing in real-time

Omar Tayan, Lamri Laouamer, Tarek Moulahi and Yasser M. Alginahi, “Authenticating Sensitive Speech-Recitation in Distance-Learning Applications using Real-Time Audio Watermarking” International Journal of Advanced Computer Science and Applications(IJACSA), 7(6), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070652

@article{Tayan2016,
title = {Authenticating Sensitive Speech-Recitation in Distance-Learning Applications using Real-Time Audio Watermarking},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070652},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070652},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {6},
author = {Omar Tayan and Lamri Laouamer and Tarek Moulahi and Yasser M. Alginahi}
}