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AILA Review: Online-First Articles

ASR-based system for promoting pronunciation

Promoting collaborative approach for higher education ELF learners

ORCID logo | Politeknik Negeri Padang, Indonesia
ORCID logo | Politeknik Negeri Padang, Indonesia
ORCID logo | Politeknik Negeri Padang, Indonesia
ORCID logo | Politeknik Negeri Padang, Indonesia
In developing English as a Lingua Franca, educators and researchers must employ new methods in language acquisition to make the learners internationally intelligible and comprehensible. This study aimed to determine the implication of infinite access to Automatic Speech Recognition (ASR)-based language-learning program promoting pronunciation skills acquisition of vocational higher education students. In this study, the students learned English as Lingua Franca (ELF) through a collaborative approach. It applied a qualitative approach with 67 first-year university students from three intact classes as participants. One class of 24 students was assigned as the first group utilising the ASR BoldVoice as the additional learning materials in their speaking class. In contrast, the other two classes of 43 students were set as the second and third groups carrying out conventional learning procedures. The development of participants’ utterances was analysed in terms of fluency, completeness, and accuracy at pre- and post-test. In order to support the obtained data, a semi-structured interview was performed right after the post-test. The result showed that the pronunciation skill of the experimental group was significantly improved in particular phones of pronunciation: /ch/, /th/, /sh/, and /j/. The analysis of the interview data confirmed that the students gained substantial improvement with regard to their pronunciation and communicative competence compared to the conventional learning process.
Keywords: Automatic Speech Recognition (ASR), English as Lingua Franca (ELF), BoldVoice, pronunciation learning
Article outline
  • Introduction
  • Literature review
    • Collaborative language learning
    • Mobile-supported collaborative pronunciation learning
    • Affordances of ASR-based dictation program for pronunciation learning
  • Methodology
    • Research design
    • Participant
    • Data collection procedures and instruments
    • Data analysis
  • Results and discussion
    • The effect of ASR-based system towards ELF learners’ pronunciation learning with collaborative language learning
    • The concurrence between ELF learners in using technology and its effect towards pronunciation learning
    • The participants’ perception of the ASR-based apps as a tool to improve intelligibility and comprehensibility
  • Conclusion
  • References
Published online: 13 June 2024
DOI logo
https://doi.org/10.1075/aila.23021.sar
References (47)
References
Abrams, Z. I. (2019). Collaborative writing and text quality in Google Docs. Language Learning & Technology, 23 (2), 22–42. DOI logoGoogle Scholar
Ahn, T. Youn, & 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. DOI logoGoogle Scholar
Al Zieni, H. (2019). The effect of mobile learning on learner autonomy: A suggested measurement tool to assess the development of learner autonomy. The Journal of Asia TEFL, 16 (3), 1020–1031. DOI logoGoogle Scholar
Bashori, M., van Hout, R., Strik, H., & Cucchiarini, C. (2021). Effects of ASR-based websites on EFL learners’ vocabulary, speaking anxiety, and language enjoyment. System, 99 1, 1–16. DOI logoGoogle Scholar
Chau, T., Huensch, A., Hoang, Y. K., & Chau, H. T. (2022). The effects of L2 pronunciation instruction on EFL learners’ intelligibility and fluency in spontaneous speech. Teaching English as a Second or Foreign Language, 25 (4), 1–28. DOI logoGoogle Scholar
Elimat, A. K., & AbuSeileek, A. F. (2014). Automatic speech recognition technology as an effective means for teaching pronunciation. JALT CALL Journal, 10 (1), 21–47. DOI logoGoogle Scholar
Evers, K., & Chen, S. (2020a). Effects of an automatic speech recognition system with peer feedback on pronunciation instruction for adults. Computer Assisted Language Learning. DOI logoGoogle Scholar
(2020b). Effects of Automatic Speech Recognition software on pronunciation for adults with different learning styles. Journal of Educational Computing Research, 1–17. DOI logoGoogle Scholar
Field, J. (2005). Intelligibility and the listener: The role of lexical stress. TESOL Quarterly, 39 (3), 399–423. DOI logoGoogle Scholar
Fouz-González, Jonas. (2020). Using apps for pronunciation training: An empirical evaluation of the English File Pronunciation app. Language Learning & Technology, 24 (1), 62–85. DOI logoGoogle Scholar
Fouz-González, Jonás. (2015). Foreign language pronunciation training with affordable and easily accessible technologies: Podcasts, smartphone apps and social networking services (Twitter). University of Murcia, Spain.Google Scholar
. (2019). Podcast-based pronunciation training: Enhancing FL learners’ perception and production of fossilised segmental features. ReCALL, 31 (2), 150–169. DOI logoGoogle Scholar
. (2020). Using apps for pronunciation training: An empirical evaluation of the English file pronunciation app. Language Learning & Technology, 24 (1), 62–85. DOI logoGoogle Scholar
Garcia, C., Kolat, M., & Morgan, T. A. (2018). Self-correction of second language pronunciation via online, real-time, visual feedback. In J. Levis (Ed.), The 9th Pronunciation in Second Language Learning and Teaching conference. Iowa State University.Google Scholar
García, C., Nickolai, D., & Jones, L. (2020). Traditional versus ASR-Based pronunciation instruction : An empirical study. CALICO Journal, 37 (3), 213–232. DOI logoGoogle Scholar
Gilakjani, A. P. (2016). English pronunciation instruction: A literature review. International Journal of Research in English Education, 1–6. [URL]
Hyland, K. (2016). Methods and methodologies in second language writing research. System, 59 1, 116–125. DOI logoGoogle Scholar
Inceoglu, S., Lim, H., & Chen, W.-H. (2020). ASR for EFL pronunciation practice: Segmental development and learners’ beliefs. The Journal of Asia TEFL, 17 (3), 824–840. DOI logoGoogle Scholar
Jaelani, S. R. (2017). Treating of content-based instruction to teach writing viewed from EFL learners’ creativity. English Language Teaching, 10 (11), 156–161. DOI logoGoogle Scholar
Jenkins, J. (2000). The phonology of English as an International Language. Oxford University Press.Google Scholar
Jenks, C. (2013). Your pronunciation and your accent is very excellent’: orientations of identity during compliment sequences in English as a lingua franca encounters. Language and Intercultural Communication, 13 (2), 165–181. DOI logoGoogle Scholar
Jung, M.-Y. (2010). The intelligibility and comprehensibility of world Englishes to non-native speakers. Pan-Pacific Association of Applied Linguistics, 14 (2), 141–163.Google Scholar
Kukulska-Hulme, A., & Shield, L. (2007). An overview of mobile assisted language learning: Can mobile devices support collaborative practice in speaking and listening? ReCALL, 20 (3), 1–20.Google Scholar
Kukulska-Hulme, A., & Viberg, O. (2018). Mobile collaborative language learning: State of the art. British Journal of Educational Technology, 49 (2), 207–218. DOI logoGoogle Scholar
Levis, J. M. (2018). Intelligibility, oral communication, and the teaching of pronunciation. Cambridge University Press. DOI logoGoogle Scholar
Liakin, D., Cardoso, W., & Liakina, N. (2014). Learning L2 pronunciation with a mobile speech recogniser: French/y/. CALICO Journal, 32 (1), 1–25. DOI logoGoogle Scholar
(2017). Mobilising instruction in a second-language context: Learners’ perceptions of two speech technologies. Languages, 2 (11), 1–21. DOI logoGoogle Scholar
Lim, S. (2016). Learning to teach intelligible pronunciation for ASEAN English as a Lingua Franca: A sociocultural investigation of Cambodian pre-service teacher cognition and practice. RELC Journal, 1–17. DOI logoGoogle Scholar
Liu, G.-Z., Chen, J.-Y., & Hwang, G.-J. (2018). Mobile-based collaborative learning in the fitness center: A case study on the development of English listening comprehension with a context-aware application. British Journal of Educational Technology, 49 (2), 305–320. DOI logoGoogle Scholar
Marzuki, D. (2023). The development of EFL students’ speech fluency. AILA Review, 36 (1), 112–133. DOI logoGoogle Scholar
McCrocklin, S. (2014). The potential of Automatic Speech Recognition for fostering pronunciation learners’ autonomy [Iowa State University]. [URL]. DOI logo
(2016). Pronunciation learner autonomy: The potential of Automatic Speech Recognition. System, 57 1, 25–42. DOI logoGoogle Scholar
(2019). Learners’ feedback regarding ASR-based dictation practice for pronunciation learning. CALICO Journal, 36 (2), 119–137. DOI logoGoogle Scholar
Mroz, A. (2018). Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition. Foreign Language Annals, 51 1, 617–637. DOI logoGoogle Scholar
Pennington, M. C. (2021). Teaching pronunciation: The state-of-the-art 2021. RELC Journal, 52 (1), 3–21. DOI logoGoogle Scholar
Pennington, M. C., & Rogerson-Revell, P. (2019). English pronunciation teaching and research: Contemporary perspectives. Palgrave Macmillan. DOI logoGoogle Scholar
Rahimi, M., & Ruzrokh, S. (2016). The impact of teaching Lingua Franca Core on English as a foreign language learners’ intelligibility and attitudes towards English pronunciation. Asian Englishes, 18 (2), 141–156. DOI logoGoogle Scholar
Saito, K. (2021). What characterises comprehensible and native-like pronunciation among English-as-a Second-Language speakers? Meta-analyses of phonological, rater, and instructional factors. Tesol Quarterly, 55 1, 866–900. DOI logoGoogle Scholar
Sariani, S., Miladiyenti, F., Rozi, F., Haslina, W., & Marzuki, D. (2022). Incorporating Mobile-based Artificial Intelligence to English Pronunciation Learning in Tertiary-level Students: Developing Autonomous Learning. International Journal of Advanced Science Computing and Engineering (IJASCE), 4 (3), 220–232. DOI logoGoogle Scholar
Speak English clearly and confidently. (2023). [URL]
Su, F., & Zou, D. (2022). Technology-enhanced collaborative language learning: Theoretical foundations, technologies, and implications. Computer Assisted Language Learning, 35 (8). DOI logoGoogle Scholar
Sun, P. P., & Yuan, R. (2018). Understanding collaborative language learning in novice-level foreign language classrooms: perceptions of teachers and students. Interactive Learning Environments, 26 (2), 189–205. DOI logoGoogle Scholar
Sung, C. C. M. (2016). Does accent matter? Investigating the relationship between accent and identity in English as a lingua franca communication. System, 60 1, 55–65. DOI logoGoogle Scholar
Tsai, P. (2015). Computer-Assisted Pronunciation learning in a collaborative context: A case study in Taiwan. TOJET: The Turkish Online Journal of Educational Technology, 14 (4), 1–13.Google Scholar
(2019). Beyond self-directed computer-assisted pronunciation learning: a qualitative investigation of a collaborative approach. Computer Assisted Language Learning, 713–744. DOI logoGoogle Scholar
Yoshida, M. T. (2018). Choosing technology tools to meet pronunciation teaching and learning goals. The CATESOL Journal, 30 (1), 195–212.Google Scholar
Zoghbor, W. S. (2018). Teaching English pronunciation to multi-dialect first language learners: The revival of the Lingua Franca Core (LFC). System, 78 1, 1–14. DOI logoGoogle Scholar