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ECHO: Hands-Free Computer Interaction using Speech Recognition System for the Debilitated
Elmer C. Matel1, Herchel Aquines2, Carl Brian S. de Guzman3, Jasond Isaac V. Gustilo4, Gregg Victor P. Ibera5, Priam D. Jodilla6 

1Elmer C. Matel, College of Engineering, Computer Studies and Architecture / Lyceum of the Philippines University – Cavite, Philippines
2Herchel Aquines, College of Engineering, Computer Studies and Architecture / Lyceum of the Philippines University – Cavite, Philippines
3Carl Brian S. de Guzman, College of Engineering, Computer Studies and Architecture / Lyceum of the Philippines University – Cavite, Philippines
4Jasond Isaac V. Gustilo, College of Engineering, Computer Studies and Architecture / Lyceum of the Philippines University – Cavite, Philippines
5Gregg Victor P. Ibera, College of Engineering, Computer Studies and Architecture / Lyceum of the Philippines University – Cavite, Philippines
6Priam D. Jodilla, College of Engineering, Computer Studies and Architecture / Lyceum of the Philippines University – Cavite, Philippines

Manuscript received on 13 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 1768-1772 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1017078219/19©BEIESP | DOI: 10.35940/ijrte.B1017.078219
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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: Computer nowadays is a must-have tool for most people. However, it is not a tool to be used by people with physical disabilities, especially the ones lacking an arm or two. The goal of this paper is to introduce a system that will help computer users perform tasks and make use of computer features and functions despite their physical limitations through the Speech Recognition System (SRS) in the English language. Ideally, this aims to provide users with an alternative way of interacting with the computer system and navigate through its functions using SRS in place of peripheral devices. It can be used to navigate through menus, open and manage applications, open certain websites, browse the internet, and type words, letters, numbers, and symbols using the dictation mode. For the testing phase, the following test cases were used: Functionality Testing, Stress Testing, and Compatibility. The testing phase yielded a result of 94.79% for the functional, 100% for stress, and 100% for compatibility, effectively ensuring that the software is working as intended. The evaluation results conforming to the standards of the ISO/IEC 9126-1 yielded a mean of 3.57 with a standard deviation of 0.52 interpreted as ‘Highly Acceptable’, which means that the software can be used as an effective alternative to peripheral devices and can even be used to complement its usage.
Index Terms: Speech Recognition, Intelligent Personal Assistant, Voice Command, Assistive Technology

Scope of the Article: Human Computer Interactions