Agricultural E-Extension Services: A Hybrid of Multilingual Translation Text-To-Speech-A Framework

Volume 5 Issue 3 September - November 2018

Research Paper

Agricultural E-Extension Services: A Hybrid of Multilingual Translation Text-To-Speech-A Framework

Yahaya Mohammed Sani*, Stella Oluyemi Etuk**, Ilyasu Anda***, Mamman Adamu****

*Assistant Lecturer, Department of Information and Media Technology, Federal University of Technology, Minna, Nigeria.

**Lecturer, Department of Information and Media Technology, School of Information and Communication Technology, Federal University of Technology, Minna, Nigeria.

***Lecturer, Department of Library and Information Technology, Federal University of Technology, Minna, Nigeria.

****Research Scholar, Department of Computer Science, Federal University of Technology, Minna, Nigeria.

Sani, Y. M., Etuk, S. O., Anda, I., and Adamu, M (2018). Agricultural E-Extension Services: A Hybrid of Multilingual Translation Text-To-Speech-A Framework. i-manager’s Journal on Pattern Recognition, 5(3), 29-36. https://doi.org/10.26634/jpr.5.3.15679

Abstract

This paper presents a framework for a text-to-speech translation on Android Devices based on Natural Language Processing (NLP) and text-to-speech synthesizer (TTS) to deliver real-time agricultural update to farmers by agricultural extension service workers (AEW) as speech is the most used and natural way for people to communicate with one another. In order to increase the naturalness of oral communications between Agricultural Extension Service workers and farmers, speech aspects must be involved. This is because most local farmers have good understanding of their local language and have strong preferences for it over any other language. Since, majority of farmers are in rural areas, they have little or no understanding of English language, agriculture research output communicated in English language, may be of little or no use to them, if they are delivered in a foreign language. Text-to-Speech Enabled Hybrid Multilingual Translation framework adopts a serial integration of Natural Language Processing (NLP) on one hand and text-to-speech synthesizer (TTS) interpretation technique using android google translate API text-to-speech synthesizer and recognizer to translate English, Hausa, Yoruba, Ibo and Arabic texts in to speech(es) respectively in accordance with farmers registered dialect on the other hand.