Received: 13th March 2023; Revised: 20th July 2023, 27th July 2023, 01st August 2023; Accepted: 02nd August 2023


  • Hana Vančová PhD. – Assoc. Prof., Faculty of Education, Department of English language and literature, University of Trnava, Trnava, Slovakia



Pronunciation, Flipped Classroom, EFL, automatic, Assessment


Automatic pronunciation assessment programs allow learners to practice pronunciation independently and receive immediate feedback based on acoustic analysis of their speech compared to a pronunciation model. The programs display a high level of reliability when assessing speakers’ pronunciation accuracy. The paper aims to present the results of an investigation into a recent experimental application of an automatic pronunciation assessment online program used within the flipped classroom of English phonetics and phonology course taught to foreign language pre-service teachers of English. Flipped learning approach was selected to offload the preliminary activities and tasks that do not require the immediate attention of the teacher to an online learning management system. Thus, course participants’ face-to-face learning could be enhanced and more effective. The participants could practice and receive tailored feedback from an online program before the face-to-face class. After the individual pronunciation practice, they could discuss more complex questions with the lecturer and, in collaboration with fellow students. The paper will present the survey results among the course participants who evaluated their experience with automatic pronunciation evaluation. Special attention is paid to the potential use of such programs for developing linguistic competence.


Aiello, J. & Mongibello, A. (2019). Supporting EFL learners with a virtual environment: A focus on L2 pronunciation. Journal of E-Learning and Knowledge Society, 15(1), 95-108.

Artieda, G. & Clements, B. (2019). A comparison of learner characteristics, beliefs, and usage of ASR-CALL systems. CALL and complexity, 19, 19-25.

Bogach, N., Boitsova, E., Chernonog, S., Lamtev, A., Lesnichaya, M., Lezhenin, I., Novopashenny, A., Svechnikov, R., Tsikach, D., Vasiliev, K., Pyshkin, E. & Blake, J. (2021). Speech processing for language learning: A practical approach to computer-assisted pronunciation teaching. Electronics, 10(3), 1-22.

Cámara-Arenas, E., Tejedor-García, C., Tomas-Vázquez, C. J. & Escudero-Mancebo, D. (2023). Automatic pronunciation assessment vs. automatic speech recognition: A study of conflicting conditions for L2-English. Language Learning & Technology, 27(1), 1-19.

Cheng, S., Liu, Z., Li, L., Tang, Z., Wang, D. & Zheng, T. F. (2020). ASR-free pronunciation assessment.

Dai, Y. & Wu, Z. (2021). Mobile-assisted pronunciation learning with feedback from peers and/or automatic speech recognition: A mixed-methods study. Computer Assisted Language Learning, 1-24.

Derwing, T. M. (2019). Utopian goals for pronunciation research revisited. Pronunciation in Second Language Learning and Teaching Proceedings, 10(1), 27-35.

Evers, K. & Chen, S. (2022). Effects of an automatic speech recognition system with peer feedback on pronunciation instruction for adults. Computer Assisted Language Learning, 35(8), 1869-1889.

Gottardi, W., Almeida, J. F. D. & Tumolo, C. H. S. (2022). Automatic speech recognition and text-to-speech technologies for L2 pronunciation improvement: reflections on their affordances. Texto livre, 15, e36736.

Guskaroska, A. (2020). ASR-dictation on smartphones for vowel pronunciation practice. Journal of Contemporary Philology, 3(2), 45-61.

Huensch, A. & Thompson, A. S. (2017). Contextualizing attitudes toward pronunciation: Foreign language learners in the United States. Foreign language annals, 50(2), 410-432.

Inceoglu, S., Lim, H. & Chen, W. H. (2020). ASR for EFL Pronunciation Practice: Segmental Development and Learners' Beliefs. Journal of Asia TEFL, 17(3), 824.

Jiang, M. Y. C., Jong, M. S. Y., Lau, W. W. F., Chai, C. S. & Wu, N. (2023). Exploring the effects of automatic speech recognition technology on oral accuracy and fluency in a flipped classroom. Journal of Computer Assisted Learning, 39(1), 125-140.

John, P., Cardoso, W. & Johnson, C. (2022). Evaluating automatic speech recognition for L2 pronunciation feedback: a focus on Google Translate. Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022, 197-202.

Khademi, H. & Cardoso, W. (2022). Learning L2 pronunciation with Google Translate. Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022, 228-233.

Khanal, R. (2020). An investigation of the effectiveness of flipped classroom teaching in project management course: A case study of Australian higher education. PUPIL: International Journal of Teaching, Education and Learning, 4(2), 348-368.

Kholis, A. (2021). Elsa speak app: automatic speech recognition (ASR) for supplementing English pronunciation skills. Pedagogy: Journal of English Language Teaching, 9(1), 01-14.

Levis, J., & Sonsaat, S. (2017). Pronunciation teaching in the early CLT era. The Routledge handbook of contemporary English pronunciation, 267-283.

Linlin, S. (2021). Blended Teaching of Foreign Language in China from The Perspective of Ecology. PUPIL: International Journal of Teaching, Education and Learning, 5(2), 44-62.

McCrocklin, S. M. (2016). Pronunciation learner autonomy: The potential of automatic speech recognition. System, 57, 25-42.

McCrocklin, S., Humaidan, A. & e Edalatishams, I. (2019). ASR dictation program accuracy: Have current programs improved? Pronunciation in Second Language Learning and Teaching Proceedings, 10(1), 191-200.

Moxon, S. (2021). Exploring the Effects of Automated Pronunciation Evaluation on L2 Students in Thailand. IAFOR Journal of Education, 9(3), 41-56.

Ngo, T. T. N., Chen, H. H. J. & Lai, K. K. W. (2023). The effectiveness of automatic speech recognition in ESL/EFL pronunciation: A meta-analysis. ReCALL, 1-18.

Papin, K. & Cardoso, W. (2022). Pronunciation practice in Google Translate: focus on French liaison. Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022, 322-327.

Pokrivčáková, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153.

Saito, K. (2021). What characterizes comprehensible and native‐like pronunciation among English‐as‐a‐second‐language speakers? Meta‐analyses of phonological, rater, and instructional factors. Tesol Quarterly, 55(3), 866-900.

Setter, J. (2015). Using flipped learning to support the development of transcription skills among L1 and L2 English speaking students. Phonetics teaching and learning conference proceedings, 77-82.

Sharipova, N. K. & Kakhkhorova, N. A. (2022). Using the" Flipped Classroom" Mixed Learning Model for the Formation of Phonetic and Phonological Competence. International Journal on Orange Technologies, 4(5), 67-70.

Sidgi, L. F. S. & Shaari, A. J. (2017). The effect of automatic speech recognition EyeSpeak software on Iraqi students’ English pronunciation: a pilot study. Advances in Language and Literary Studies, 8(2), 48-54.

Sze, C. A. & Nasri, N. M. (2022). The Role of the Flipped Learning in the English Language Learning and Students’ Motivation: A Systematic Review. International Journal of Academic Research in Progressive Education and Development, 11(2), 1122-1154.

Szyszka, M. (2022). Learners’ attitudes to first, second and third languages pronunciation in structuring multilingual identity. Applied Linguistics Review, 13(6), 1127-1147.

Tejedor-García, C., Cardeñoso-Payo, V. & Escudero-Mancebo, D. (2021). Automatic speech recognition (ASR) systems applied to pronunciation assessment of L2 Spanish for Japanese speakers. Applied Sciences, 11(15), 6695.

Turan, Z. & Akdag-Cimen, B. (2020). Flipped classroom in English language teaching: a systematic review. Computer Assisted Language Learning, 33(5-6), 590-606.

Vančová, H. (2020). Pronunciation Practices in EFL Teaching and Learning. University of Hradec Králové, Gaudeamus Publishing House.

Vančová, H. (2021). Teaching English pronunciation using technology. Kirsch-Verlag.

Veres, S. & Muntean, A. D. (2021). The flipped classroom as an instructional model. Romanian Review of Geographical Education, 10(1), 56-67.

Wahib, M. & Tamer, Y. (2021). Exploring the effect of the flipped classroom model on EFL phonology students’ academic achievement. International Journal of Language and Literary Studies, 3(2), 37-53.

Wang, Y. H. & Young, S. C. (2015). Effectiveness of feedback for enhancing English pronunciation in an ASR‐based CALL system. Journal of Computer Assisted Learning, 31(6), 493-504.




How to Cite

Vančová, H. (2023). AUTOMATIC PRONUNCIATION ASSESSMENT IN A FLIPPED CLASSROOM CONTEXT: Received: 13th March 2023; Revised: 20th July 2023, 27th July 2023, 01st August 2023; Accepted: 02nd August 2023. PUPIL: International Journal of Teaching, Education and Learning, 7(3), 32–49.