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DOI: 10.14569/IJARAI.2015.041005
PDF

Improved Text Reading System for Digital Open Universities

Author 1: Mahamadou ISSOUFOU TIADO
Author 2: Abdou IDRISSA
Author 3: Karimou DJIBO

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 10, 2015.

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Abstract: The New Generation of Digital Open Universities (DOUNG) is a recently proposed model using m-learning and cloud computing option and based on an integrated architecture built with open networks as GSM and Internet. The goal of achieving the ubiquitous ability of the m-learning is having the large number of languages as a serious issue. It needs to use many teachers in order to repeat the same course in various languages. In this paper, an extended system is proposed under the consideration of the low capacities of the cell-phone device in terms of computing and visualization. The model uses the possibility to build a voice warehouse which can be used to generate the audio format of every course provide in a text format and in a particular language. The Advanced Text Reading System (ATRS) is proposed to use that voice warehouse and to produce the audio format of a course, giving facility to teachers to easily overcome the constraints of language barrier. The new proposed model is described and its contributions are discussed.

Keywords: m-learning; distance learning; digital open universities; cloud-computing; audio warehouse

Mahamadou ISSOUFOU TIADO, Abdou IDRISSA and Karimou DJIBO, “Improved Text Reading System for Digital Open Universities” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(10), 2015. http://dx.doi.org/10.14569/IJARAI.2015.041005

@article{TIADO2015,
title = {Improved Text Reading System for Digital Open Universities},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.041005},
url = {http://dx.doi.org/10.14569/IJARAI.2015.041005},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {10},
author = {Mahamadou ISSOUFOU TIADO and Abdou IDRISSA and Karimou DJIBO}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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