Microcontroller Based Speech to Text Translation System

Victor Sorochi Uko, Gachada Benard Dubukumah and Ibrahim Kafayat Ayosubomi
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Victor Sorochi Uko: Department of electrical and electronics engineering, ATBU Bauchi, Nigeria
Gachada Benard Dubukumah: Department of Electrical/Electronic Engineering, Modibbo Adama University of Technology, Adamawa State, Nigeria
Ibrahim Kafayat Ayosubomi: Department of Electrical/Electronic Engineering, Abubakar Tafawa Balewa University, Bauchi State, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 12, 149-154

Abstract: For the purpose of an effective communication, speech becomes a convenient conduit to convey messages as an important activity in human life. The need for better reception of voice messages between humans and the environment they interact with becomes a trend and an area of interest that needs to be studied for improvements. A speech to text translation system is an embedded based design that convert analogue signals particularly voice from an input into digital signals that a computer or any electronic device can understand and perform a required task or display the equivalent digital signal in text on a screen. Speech translation systems mitigates the bottlenecks to an efficient communication caused by other varieties of communication methods. Even though speech translation and recognition designs haven’t been well explored for electronic integration due to complexity and variation of sound signals from sources, this low cost, simple and portable project was incorporated to serve as a substratum and alternative in speech to text translation designs using microcontroller, in other to bridge the gaps in the world of human communications. This research paper addresses design methodology, limitations, recommendations and applications of the implemented speech to text translation system for improved communication reception.

Keywords: Android Application; Embedded Design; Speech; Speech Translation and Text (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:12:id:61697

DOI: 10.24018/ejeng.2019.4.12.1697

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