Speech Application Programming Interface for English Pronunciation Learning

Achmad Teguh Wibowo, Moch Yasin, Mohammad Khusnu Milad, Muhammad Andik Izzuddin, Faris Mushlihul Amin

2018

Abstract

Teaching and learning activity is a compulsory activity that should be done by all citizens in Indonesia for at least nine years. This activity involves a role of a teacher in teaching students. A learning material, such as English language, should be practiced by students for better understanding, whereas the quality of English teachers in Indonesia varies between people. This tends to make students have differing levels of skill mastery in this language learning depending on the teacher, especially in pronunciation. Current development of technologies allows people to be more interactive. One of these technologies is the Speech Application Programming Interface. This technology allows people to talk to the computer. This research proposes a new learning method that involves a computer system that displays a set of attractive images and has the ability to listen to student’s voice. Voice input is converted into text and will be matched to the data using an if-then method. If the text is in the data, the student’s answer is correct. Thus, human-computer interaction can improve the learning process because students become happier and have more standardized pronunciation skill results.

Paper Citation

in Harvard Style

Wibowo A., Yasin M., Milad M., Izzuddin M. and Amin F. (2018). Speech Application Programming Interface for English Pronunciation Learning. In Proceedings of the Built Environment, Science and Technology International Conference - Volume 1: BEST ICON, ISBN 978-989-758-414-5, pages 321-325. DOI: 10.5220/0008903800002481

in Bibtex Style

@conference{best icon18,
author={Achmad Teguh Wibowo and Moch Yasin and Mohammad Khusnu Milad and Muhammad Andik Izzuddin and Faris Mushlihul Amin},
title={Speech Application Programming Interface for English Pronunciation Learning},
booktitle={Proceedings of the Built Environment, Science and Technology International Conference - Volume 1: BEST ICON,},
year={2018},
pages={321-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008903800002481},
isbn={978-989-758-414-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the Built Environment, Science and Technology International Conference - Volume 1: BEST ICON,
TI - Speech Application Programming Interface for English Pronunciation Learning
SN - 978-989-758-414-5
AU - Wibowo A.
AU - Yasin M.
AU - Milad M.
AU - Izzuddin M.
AU - Amin F.
PY - 2018
SP - 321
EP - 325
DO - 10.5220/0008903800002481