IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )

E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 11 NO. 1 2025
DOI: 10.56201/ijcsmt.v11.no1.2025.pg1.11

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Modeling A Transfer Learning-Based Automated Voice-Controlled Website Application System

Okeke Ogochukwu and Okpala Calista

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Abstract

A website is a collection of files and information that covers a particular theme and is managed by an individual or organization. However, present websites are complex and lack intuitive navigation, making it challenging for users to locate specific information efficiently. In addition, existing websites lack interactivity beyond basic input forms and static content, even though users crave engaging experiences that respond dynamically to their actions and preferences, leading to increased user engagement and satisfaction. To achieve this requirement, the aim of this paper is the modeling of an enhanced human-computer interaction website system through transfer learning-based automated voice-controlled approach. The methodology used is an extreme programming approach, while the research method is the data collection of e-commerce website historical information, which is then applied to train a transfer learning algorithm called ResNet to generate a model of the web information system. In addition, the Python text-to-speech library will also be adapted and applied to the developed model before integration into the website to facilitate automated voice control features. The system was implemented with Javascript and Python programming languages. The results of the ResNet training and testing reported an average of 98.7% accuracy, while the new website, after practical experimentation, showed that the user can actually navigate and find information on the website through voice input.

keywords:

Website, Voice Control, Transfer Learning, Text-to-Speed, ResNet, E-Commerce

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References:

Bucea-Manea-?oni? R., &Bl?jin? O., (2019) Factors Influencing Online Consumer Behavior in
the Era of IoT. In Proceedings of the 9th International Conference on Advanced
Manufacturing Technologies ICAMaT, Bucharest, Romania, 1 November 2018; Trans Tech
Publications: Baech, Switzerland, 2019; Volume 957, pp. 81–89.
Jevremovi? M.,Gheorghi?? C., Ceri? V.,Bl?jin? O., Jeli? Z., Ili? M.P., &Bucea-Manea-?oni? R.,
(2022) An Empirical Study on Website Interactivity Impact among a Student Group,
Beneficent
for
Companies,
and
Other
Users. Sustainability 2022, 14,
https://doi.org/10.3390/su14084507



Kuleto V.,Bucea-Manea-?oni? R.,Bucea-Manea-?oni? R., Ili? M.P., Martins O.M.D.,Rankovi?
M., & Coelho A.S., (2022) The Potential of Blockchain Technology in Higher Education as
Perceived by Students in Serbia, Romania, and Portugal. Sustainability 2022, 14, 749.
Miller, M., (2010) The Ultimate Web Marketing Guide; Pearson Education, Inc.: London, UK,
2010; pp. 17–26.
Moritz M., Manolache D.S.,&Gheorghe M., (2019) A Holistic Performance Management
Approach in Business Networks. In Proceedings of the 9th International Conference on
Advanced Manufacturing Technologies ICAMaT, Bucharest, Romania, 1 November 2018;
Trans Tech Publications: Baech, Switzerland, 2019; Volume 957, pp. 231–238.
Togas V. P., Naharia O., Manggopa H., Rompas D.T., &Oroh R., (2021) Development of Web-
Based Digital System Learning Media. Asia Pacific Journal of Management and Education
(APJME). Vol. 4 No. 3, 22-34, November, 2021. E-ISSN: 2655-2035/P-ISSN: 2685-8835.
https://doi.org/10.32535/apjme.v4i3.1263https://ejournal.aibpm.org/index.php/APJME
Wolk A., &Theysohn S., (2007) Factors Influencing Website Traffic in the Paid Content Market. J.
Mark. Manag. 2007, 23, 769–796.

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