DOI QR코드

DOI QR Code

음성 인식 테크놀로지 기반의 외국어 말하기 훈련 시스템 개발

Development of a Foreign Language Speaking Training System Based on Speech Recognition Technology

  • 구덕회 (서울교육대학교 컴퓨터교육과)
  • Koo, Dukhoi (Dept. Computer Education, Seoul National University of Education)
  • 투고 : 2019.10.21
  • 심사 : 2019.10.29
  • 발행 : 2019.10.31

초록

글로벌 사회로 발전함에 따라 외국어를 능숙하게 말하고 싶어하는 사람들이 많아지고 있다. 능숙하게 말하기 위해서는 말하는 훈련을 충분히 가져야 하는데 이때 대화 상대방을 필요로 한다. 최근에는 음성 인식 정보 기술의 발달로 인하여 대화 상대방의 인간이 없어도 외국어 말하기 훈련을 수행하는 시스템 개발이 가능할 것으로 기대되고 있다. 이에 본 연구에서는 외국어 말하기 훈련 교육을 위한 테스트베드 시스템을 개발하고 초등학교 수업에 적용하였다. 초등학생에게 영어 대화 상황을 제시하고 말하기 훈련을 실시하도록 하였다. 그 후, 시스템에 대한 만족도와 지속적인 활용 가능성을 조사하였다. 본 연구에서 개발한 시스템을 이용하면 외국어 말하기 학습 훈련에 도움이 된다는 점을 확인하였다.

As the world develops into a global society, more and more people want to speak foreign languages fluently. To speak fluently, you must have sufficient training in speaking, which requires a dialogue partner. Recently, it is expected that the development of voice recognition information technology will enable the development of a system for conducting foreign language speaking training without human beings from the other party. In this study, a test bed system for foreign language speaking training was developed and applied to elementary school classes. Elementary school students were asked to present their English conversation situation and conduct speaking training. Then, satisfaction with the system and potential for continuous utilization were surveyed. The system developed in this study has been identified as helpful for the training of learning to speak a foreign language.

키워드

참고문헌

  1. Lee Kyung-Yim, Lee Won-Key, Kyungja Ahn(2015). The present situation analysis of teaching of the speaking in primary ELT and some strategies for improvement. Primary English Education. 21(4). 85-114.
  2. Dong Kwang Shin, Yong Hyo Park, Tae Joon Park, Su Yon Yim(2015). The present and future of an automated scoring program for speaking skills of English. Multimedia-Assisted Language Learning, 18(1). 93-114. https://doi.org/10.15702/mall.2015.18.1.93
  3. Kim, J.(2018). The Effect of Cognitive Load of a Task on Interaction and Speaking with Primary English Learners. Primary English Education. 24. 233-269.
  4. Jiyoung In, JeongHye Han(2016). The Prosodic Changes of Korean English Learners in Robot Assisted Language Learning. Journal of The Korean Assocaition of Information Ecucation, 20(4), 323-332.
  5. He Young Kim, Dae Geun Park(2016). Mobile application design and evaluation for English speaking practice: Design-based research: design-based research. Multimedia-Assisted Language Learning, 19(1): 58-85.
  6. Jungtae Kim(2016). The Development and Validation of a Mobile-based English Speaking Test Convergence Model. Journal of the Korea Convergence Society, 7(2), 25-31. https://doi.org/10.15207/JKCS.2016.7.2.025
  7. Miyoung Ryu, Seonkwan Han(2016). Development of Smart Application for English Speaking. Journal of The Korean Assocaition of Information Ecucation, 20(4), 367-374.
  8. Jee Hwan Yun, Suh Keong Kwon, So Yeon Kim(2015). Development of a mobile English speaking app for middle school students: Speaking English Jr. Multimedia-Assisted Language Learning, 18(3): 231-256. https://doi.org/10.15702/mall.2015.18.3.231
  9. Yun, Jeehwan, Kim Soyen, Kwon Suh keong(2015). Implementation of a textbook based mobile speaking program for Korean middle school students. English Language Teaching, 27(2), 105-124. https://doi.org/10.17936/pkelt.2015.27.2.006
  10. Junghye Fran Choi(2016). Gamification in Smart Learning Design to Enhance Speaking Skills for EFL Young Learners. Journal of Korea Game society. 16(3), 7-16. https://doi.org/10.7583/JKGS.2016.16.3.7
  11. Gilakjani, A. P., & Ahmadi, M. R. (2011). A study of factors affecting EFL learners' English listening comprehension and the strategies for improvement. Journal of Language Teaching and research, 2(5), 977.
  12. Lendrayanis, L. (2019). Improving English Speaking Ability. ELT-Lectura, 6(2), 198-207. https://doi.org/10.31849/elt-lectura.v6i2.3145
  13. Cocerhan, I., & Bradley, J. INVESTIGATION INTO HOW TECHNOLOGY CAN OVERCOME LANGUAGE BARRIERS EXPERIENCED BY CONSTRUCTION WORKERS FROM EASTERN EUROPE ON SITES IN LONDON. Management, 537, 545.
  14. Ratnaningsih, D., Nofandii, F., Purba, D., & Wiratno, D. (2019). The Influence of Computer Assisted Language Learning (Call) to Improve English Speaking Skills. Research, Society and Development, 8(10), 438101413.
  15. Mukammal, M., Priyono, P., & Amrullah, A. Students English Speaking Ability. International Research Journal of Engineering, IT and Scientific Research, 4(2), 1-13. https://doi.org/10.21744/irjeis.v4i2.612
  16. Shin, H. B., & Bruno, R. (2003). Language Use and English-Speaking Ability: 2000. Census 2000 Brief.
  17. Leong, L. M., & Ahmadi, S. M. (2017). An analysis of factors influencing learners’ English speaking skill. International Journal of Research in English Education, 2(1), 34-41. https://doi.org/10.18869/acadpub.ijree.2.1.34
  18. Rahman, A., & Deviyanti, R. (2018). The correlation between students’ motivation and their English speaking ability. Jurnal Ilmiah ESAI, 6(1), 66-83.
  19. Ahn, T. Y., & Lee, S. M. (2016). User experience of a mobile speaking application with automatic speech recognition for EFL learning. British Journal of Educational Technology, 47(4), 778-786. https://doi.org/10.1111/bjet.12354