Students’ Perspectives on Using Natural Reader to Support TOEFL Listening Practice: An Experience-Based Study

Authors

DOI:

https://doi.org/10.22437/langue.v4i1.48095

Keywords:

Artificial Intelligence, listening, natural reader, TOEFL

Abstract

This research describes students’ perspectives and experiences in using Natural Reader to support learning TOEFL listening practice. This research uses a descriptive qualitative method. Students generally have a good understanding of how to use Natural Reader for TOEFL listening practice, appreciating its key features like adjustable speed, voice options, and offline use. While feedback on its features is mostly positive, some find certain functions less effective or challenging, and there are concerns about the AI voice’s naturalness and the limitations of the free version. Natural Reader is viewed as helpful for improving listening skills, boosting confidence, aiding vocabulary, and maintaining focus, though some question its effectiveness with more complex listening tasks. The tool is praised for clear audio, flexibility, and user-friendliness, with many motivated to continue using it and recommending it for TOEFL preparation. However, drawbacks include a monotonous voice, potential boredom with prolonged use, technical issues, and a preference among some students for original audio or teacher guidance. Overall, Natural Reader positively influences motivation and confidence, reduces anxiety, and is seen as suitable for both self-study and classroom use, though some learners still prefer alternative materials. Several studies have explored the use of Text-to-Speech (TTS) technology to enhance English listening skills. Overall, these studies confirm the growing effectiveness and versatility of TTS in listening comprehension development.

References

Al-Jarf, R. (2022). Text-to-Speech Software for Promoting EFL Freshman Students’ Decoding Skills and Pronunciation Accuracy. In Online Submission (Vol. 4, Issue 2, pp. 19–30). https://eric.ed.gov/?id=ED621861

Amin, E. A.-R. (2022). Using Repeated-Reading and Listening-While-Reading via Text-to-Speech Apps in Developing Fluency and Comprehension. In Online Submission (Vol. 12, Issue 1, pp. 211–220). https://eric.ed.gov/?id=ED618293

Amin, E. A.-R. (2024). EFL Students’ Perception of Using AI Text-to-Speech Apps in Learning Pronunciation. In Online Submission (Vol. 21, Issue 3, pp. 887–903). https://eric.ed.gov/?id=ED643603

Andriani, T., Herawati, Y., & Sulistyo, T. (2020, May 25). Text-to-Speech Application for Foreign Language Learner’ Listening Comprehension in Indonesia. Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media in Conjunction with the 1st International Conference on Islam, Science and Technology, ICONQUHAS & ICONIST, Bandung, October 2-4, 2018, Indonesia. https://eudl.eu/doi/10.4108/eai.2-10-2018.2295544

Brunow, D. A., & and Cullen, T. A. (2021). Effect of Text-to-Speech and Human Reader on Listening Comprehension for Students with Learning Disabilities. Computers in the Schools, 38(3), 214–231. https://doi.org/10.1080/07380569.2021.1953362

Fauzan, M. (2023). The Influence of Using Text to Speech Toward Students’ Pronunciation Mastery at the Tenth Grade of Man 2 Bandar Lampung in the Academic Year of 2022/2023 [Undergraduate Thesis, UIN Raden Intan Lampung]. https://repository.radenintan.ac.id/30673/

Fitria, T. N. (2021). The use technology based on artificial intelligence in English teaching and learning. ELT Echo : The Journal of English Language Teaching in Foreign Language Context, 6(2), 213–223. https://doi.org/10.24235/eltecho.v6i2.9299

Fitria, T. N. (2022). Utilizing Text-to-Speech Technology: Natural Reader in Teaching Pronunciation. JETLEE : Journal of English Language Teaching, Linguistics, and Literature, 2(2), 70–78. https://doi.org/10.47766/jetlee.v2i2.312

Fitria, T. N. (2023a). A Library Research in English Education Research: A Guidance for Researchers in Writing Non-Research Articles. Prosiding Seminar Nasional & Call for Paper STIE AAS, 6(1), Article 1. https://prosiding.stie-aas.ac.id/index.php/prosenas/article/view/266

Fitria, T. N. (2023b). Using NaturalReader: A Free Text-To-Speech Online with AI-Powered Voices in Teaching Listening TOEFL. ELTALL: English Language Teaching, Applied Linguistic and Literature, 4(2), Article 2. https://doi.org/10.21154/eltall.v4i02.6305

Fitria, T. N. (2024). Qualitative Research Method in Education Field: A Guide for Researchers, Lecturers and Students (Metode Penelitian Kualitatif di Bidang Pendidikan : Panduan bagi Peneliti, Dosen dan Mahasiswa). Eureka Media Aksara. https://repository.penerbiteureka.com/publications/578908/

Fitria, T. N. (2024). Utilizing Text-to-Speech (TTS) Technology in Creating Listening Materials for English Language Teaching (ELT). Journal of English Language and Culture, 15(1). https://doi.org/10.30813/jelc.v15i1.4995

Govender, A., Wagner, A. E., & King, S. (2019). Using pupil dilation to measure cognitive load when listening to text-to-speech in quiet and in noise: 20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019. 20th Annual Conference of the International Speech Communication Association, 1551–1555. https://doi.org/10.21437/Interspeech.2019-1783

Ibelings, S., Brand, T., & Holube, I. (2022). Speech Recognition and Listening Effort of Meaningful Sentences Using Synthetic Speech. Trends in Hearing, 26, 23312165221130656. https://doi.org/10.1177/23312165221130656

Indasari, N. L. (2025). Pemanfaatan Aplikasi Text to Speech untuk Pengembangan Materi Listening Berbasis Kearifan Lokal. Konstruktivisme : Jurnal Pendidikan dan Pembelajaran, 17(1), Article 1. https://doi.org/10.35457/konstruk.v17i1.4042

James, I. (2016). The Use of Web-Based Text-to-Speech Tool in Improving English Pronunciation and Changing Perception of Error Correction among Young Learners. International Journal on E-Learning Practices (IJELP), 3. https://doi.org/10.51200/ijelp.vi.715

Kiamanesh, L., Murphy, D., & Castel, A. (2023). To Read or to Listen: The Effect of Text-to-Speech Software and Accents on Comprehension of Digital Media. Modern Psychological Studies, 29(1). https://scholar.utc.edu/mps/vol29/iss1/24

Lasi, F., & Bouk, E. (2022). A Study on the EFL Learners’ Ability in Taking TOEFL Listening Test. Ethical Lingua: Journal of Language Teaching and Literature, 9(2), 802–809. https://doi.org/10.30605/25409190.436

Moon, D. (2020). Learner-Generated Digital Listening Materials Using Text-to-Speech for Self-Directed Listening Practice. International Journal of Internet, Broadcasting and Communication, 12(4), 148–155. https://doi.org/10.7236/IJIBC.2020.12.4.148

Mulyanto, D., Wahyudi, M., Ridho, A. M. A., & Zaki, M. (2024). Utilization of Artificial Intelligence with Text-To-Speech Technology Based on Natural Language Processing to Enhance Arabic Listening Skills for Non-Native Speakers. Alsinatuna, 10(1), 44–58. https://doi.org/10.28918/alsinatuna.v10i1.7952

Sha, G. (2010). Using TTS voices to develop audio materials for listening comprehension: A digital approach. British Journal of Educational Technology, 41(4), 632–641. https://doi.org/10.1111/j.1467-8535.2009.01025.x

Syam, A. M., Akib, E., & Setiadi, M. A. (2020). The Use of Text To Speech Software To Improve Students Listening Skill at 3rd Grade SMPN 21 MAKASSAR. Journal of Computer Interaction in Education, 3(1), 11–21. https://doi.org/10.56983/jcie.v3i1.265

Tan, X., Chen, J., Liu, H., Cong, J., Zhang, C., Liu, Y., Wang, X., Leng, Y., Yi, Y., He, L., Zhao, S., Qin, T., Soong, F., & Liu, T.-Y. (2024). NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(6), 4234–4245. https://doi.org/10.1109/TPAMI.2024.3356232

Tjandra, A., Sakti, S., & Nakamura, S. (2017). Listening while speaking: Speech chain by deep learning. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 301–308. https://doi.org/10.1109/ASRU.2017.8268950

Wajdi, M., Sanjaya, I. N. S., & Sumartana, I. M. (2021). Developing a listening English learning model using text2speech application. Journal of Applied Studies in Language, 5(2), 274–281. https://doi.org/10.31940/jasl.v5i2.274-281

Yu, C., Wu, L., Li, J., & Li, S. (2023). English Listening Teaching Mode under Artificial Intelligence Speech Synthesis Technology. ACM Trans. Asian Low-Resour. Lang. Inf. Process. https://doi.org/10.1145/3615866

Yuliani, S. Y., & Sopian, A. (2025). Integration of AI-Based Text-to-Speech Technology in Arabic Listening Skills Learning. Aphorisme: Journal of Arabic Language, Literature, and Education, 6(1), 85–96. https://doi.org/10.37680/aphorisme.v6i1.7144

Downloads

Published

2026-06-25