Articles Vol. 5 No. 1 (2026): Journal of English Language and Pedagogy

Empowering Pronunciation Learning through Google Translate TTS: Insights from SMA 4 Jember Students

Authors

Subhanadif Akmal Bariq
Universitas Muhammadiyah Jember, Indonesia
Muhlisin Rasuki
Universitas Muhammadiyah Jember, Indonesia
Indri Astutik
Universitas Muhammadiyah Jember, Indonesia
Diterbitkan: 2026-02-26
DOI: https://doi.org/10.58518/jelp.v5i1.3440
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Abstract

Abstract

This study investigates the effectiveness of Google Translate's Text-to-Speech (TTS) feature in improving English pronunciation among vocational high school students. The research employs a quantitative approach, focusing on pre-test and post-test assessments to measure the impact of the TTS feature on students' pronunciation skills.

The study begins by outlining the background and significance of pronunciation in English language learning, emphasizing the challenges students face in achieving accurate pronunciation. It explores the potential of TTS technology as a digital learning tool that provides students with authentic pronunciation models. The research aims to determine whether exposure to TTS-generated speech enhances students' ability to pronounce words correctly and fluently.

Data collection involves a controlled experiment where students undergo a pre-test, engage with TTS as a pronunciation training tool, and subsequently take a post-test. The results are analyzed statistically to identify significant improvements in pronunciation accuracy. Findings suggest that the integration of TTS technology in language learning positively influences students’ pronunciation performance, making it a viable supplement to traditional teaching methods.

The study concludes by recommending the adoption of TTS technology in English language instruction, highlighting its advantages in providing consistent pronunciation models and facilitating independent practice. Future research directions include exploring the long-term effects of TTS exposure on pronunciation retention and comparing TTS with other pronunciation enhancement methods.

Kata Kunci:
#Pronunciation #Text to speech #Google Translate #Digital Learning

Kata Kunci / Keywords

4 Kata Kunci

Daftar Pustaka / References

28 Referensi
  1. Medina, Z. (2023). improving students’ pronunciation ability through microphone google translate.
  2. Anderson, P., & Li, M. (2023). the impact of pronunciation accuracy on global communication effectiveness. international journal of applied linguistics, 15(3), 289-304.
  3. Sulistiyo, A., Mitchell, R., & Chen, X. (2024). Phonological interference patterns in Indonesian EFL learners. Asian EFL Journal, 26(1), 45-62.
  4. Rahman, K., & Mitchell, J. (2023). Resource challenges in Indonesian English language classrooms: A nationwide survey. TESOL Quarterly Southeast Asia, 14(2), 78-93.
  5. Martinez, R., & Kumar, S. (2024). Advances in neural text-to-speech systems: a technical review. Speech technology journal, 42(1), 15-32.
  6. Thompson, R., Garcia, L., & Wong, M. (2023). Technology-enhanced pronunciation training: Evidence from Asian contexts. Language Learning & Technology, 27(3), 122-140.
  7. Kim, J., & Park, S. (2024). Motivation and autonomy in technology-assisted language learning. Computer Assisted Language Learning, 37(1), 45-62.
  8. Wirawan, S., & Santos, M. (2023). Digital adoption patterns among Indonesian youth: Implications for education. Asian Journal of Educational Technology, 11(4), 178-195.
  9. Zhang, L., & Chen, X. (2023). Artificial intelligence in language education: Current applications and future prospects. Journal of Educational Technology, 45(2), 178-195.
  10. Wahyuni, S., & Safitri, R. (2022). Indonesian EFL learners' pronunciation challenges: A comprehensive analysis. TESOL Quarterly Indonesia, 8(1), 45-62.
  11. Rodriguez, M., Smith, K., & Johnson, P. (2021). Advances in text-to-speech technology: A comparative analysis of leading platforms. Digital Education Review, 39, 88-105.
  12. Pratama, H., & Kartikasari, D. (2023). Technology integration in Indonesian English classrooms: Opportunities and challenges. Indonesian Journal of Applied Linguistics, 12(3), 456-471.
  13. Lee, S. M. (2024). Student autonomy in digital language learning environments. Language Learning & Technology, 28(1), 10-25.
  14. Kumar, V., & Patel, R. (2023). The role of artificial intelligence in pronunciation teaching: A systematic review. Computer Assisted Language Learning, 36(2), 225-244.
  15. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  16. Brinkmann, S., & Kvale, S. (2015). InterViews: Learning the craft of qualitative research interviewing (3rd ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/interviews/book239402
  17. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/qualitative-inquiry-and-research-design/book246896
  18. Dörnyei, Z., & Taguchi, T. (2009). Questionnaires in second language research: Construction, administration, and processing (2nd ed.). Routledge. https://doi.org/10.4324/9780203864739
  19. Larson-Hall, J. (2016). A guide to doing statistics in second language research using SPSS and R (2nd ed.). Routledge. https://doi.org/10.4324/9781315775661
  20. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications. https://us.sagepub.com/en-us/nam/naturalistic-inquiry/book842
  21. Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass. https://www.wiley.com/en-us/Qualitative+Research%3A+A+Guide+to+Design+and+Implementation%2C+4th+Edition-p-9781119003618
  22. Patton, M. Q. (2015). Qualitative research & evaluation methods: Integrating theory and practice (4th ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/qualitative-research-evaluation-methods/book232962
  23. Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589-597.
  24. Christou, P. A. (2023). A systematic guide for conducting thematic analysis in qualitative tourism research. Journal of Environmental Management and Tourism, 14(6), 2696-2703. https://doi.org/10.14505/jemt.v14.6(70).17
  25. Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1-13.
  26. Tavares, J., Ferreira, M., & Lima, M. (2021). Thematic analysis: A guide for researchers in health sciences and social sciences. Health Promotion International, 36(1), 12-20.
  27. Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J., & Neville, A. J. (2014). The use of triangulation in qualitative research. Oncology Nursing Forum, 41(5), 545-547.
  28. Ciesielska, M., Boström, K. W., & Öhlander, M. (2018). Observation Methods. In M. Ciesielska & D. Jemielniak (Eds.), Qualitative Methodologies in Organization Studies: Volume II: Methods and Possibilities (pp. 33-52). Springer, Cham.

Informasi Terbitan

Issue
Vol. 5 No. 1 (2026): Journal of English Language and Pedagogy
Section
Articles
Published
2026-02-26

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Copyright (c) 2026 Subhanadif Akmal Bariq, Muhlisin Rasuki, Indri Astutik

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How to Cite

Empowering Pronunciation Learning through Google Translate TTS: Insights from SMA 4 Jember Students. (2026). JELP: Journal of English Language and Pedagogy, 5(1), 23-32. https://doi.org/10.58518/jelp.v5i1.3440