Developing Alumni Relationship Management using Thai Speech Recognition on Mobile Application
Sumitra Nuanmeesriis Assistant Professor with the Information Technology Department, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9915-9922 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9424118419/2019©BEIESP | DOI: 10.35940/ijrte.D9424.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Alumni are one of the most significant assets for the success of universities. After graduation, they enter a new society, have work and family responsibilities which change over time according to their age and economic status. It becomes more difficult to communicate between friends and university. This situation is challenging to collect up-to-date information about alumni from a university database as well as sharing it with all alumni. This article demonstrates the alumni relationship management (ARM) using speech recognition for the mobile application on smartphones. It has been designed and developed for Thai speech recognition to facilitate alumni especially the elderly who may have vision problems or typing by applied the ionic framework to support both iOS and Android. The contents were evaluated by five experts to identify each feature of the developed mobile application. Afterward, the application was evaluated by one hundred twenty alumni. The learning post-test results scored higher than the pre-test results. The effectiveness evaluation results in terms of the accessibility barriers at the high-level while being used has high consensus.
Keywords: Alumni Relationship Management, Thai Speech Recognition, Mobile Application, Visualization.
Scope of the Article: Pattern Recognition.