Elsa Speak App: Automatic Speech Recognition (ASR) for Supplementing English Pronunciation Skills
DOI:
https://doi.org/10.32332/joelt.v9i1.2723Keywords:
artificial intelligence, ELSA Speak, Pronunciation skills, technologyAbstract
Nowadays, artificial intelligence (AI) became a special concern in language teaching for the reason that it can assist and enhance language learning for all levels of education. Again, it had beneficial roles for supplementing language teaching like ELSA Speak App one of Automatic Speech Recognition (ASR) used for teaching pronunciation. It studied how students heard, voiced, uttered, vocalized, and asserted the English words in the oral language, but the students often pronounced incorrect words with the result that the uttered words had faulty meaning. This study aimed to carry out English Language Speech Assistant (ELSA) Speak App to improve English language pronunciation skills to higher education learners that were the English Department Students of Nahdlatul Ulama University of Yogyakarta (UNU). The data were collected using a test of pronunciation and interview. The researcher also taught in the classroom. The results showed that ELSA Speak can increase the students’ pronunciation skills. It can be seen from the average scores obtained from the teaching cycles from two to four in grade. Clearly, ELSA Speak helped the students pronounce diverse words more easily and comprehensively. Also, the available features offered by this app like instant feedback enabled the students to pronounce precisely. In conclusion, ELSA Speak can improve the students’ pronunciation skills well and effectively. Indeed, it can motivate the students to engage in learning to pronounce.
References
Baker, A., & Burri, M. (2016). Feedback on second language pronunciation: A case study of EAP teachers’ beliefs and practices. Australian Journal of Teacher Education, 41(6), 1–19. https://doi.org/10.14221/ajte.2016v41n6.1
Carrier, M. (2017). Automated Speech Recognition in language learning: Potential models, benefits and impact. Training Language and Culture, 1(1), 46–61. https://doi.org/10.29366/2017tlc.1.1.3
Crystal, D. (2003). English as a Global Language. In Cambridge University Press. Cambridge University Press.
Dodigovic, M. (2007). Artificial intelligence and second language learning: An efficient approach to error remediation. Language Awareness, 16(2), 99–113. https://doi.org/10.2167/la416.0
Elimat, A., & AbuSeileek, A. F. (2014). Automatic speech recognition technology as an effective means for teaching pronunciation. The JALT CALL Journal, 10(1), 21–47. https://doi.org/10.29140/jaltcall.v10n1.166
Fatemeh, A. (2014). Technology and english language pronounciation. Indian Journal of Fundamental and Applied Life Sciences ISSN:, 4, 461–465.
Fathi Sidig Sidgi, L., & Jelani Shaari, A. (2017). The Usefulness of Automatic Speech Recognition (ASR) Eyespeak Software in Improving Iraqi EFL Students’ Pronunciation. Advances in Language and Literary Studies, 8(1), 221. https://doi.org/10.7575/aiac.alls.v.8n.1p.221
Fouz-González, J. (2020). Using apps for pronunciation training: An empirical evaluation of the English File Pronunciation app. Language Learning and Technology, 24(1), 62–85. https://doi.org/10.125/44709
Fouz González, J. (2012). Can Apple’s iPhone Help to Improve English Pronunciation Autonomously? State of the App. August 2012, 81–87. https://doi.org/10.14705/rpnet.2012.000031
Gerald, K. (2001). How to Teach Pronunciation (second). Longman.
Guskaroska, A. (2019). ASR as a tool for providing feedback for vowel pronunciation practice. Iowa State University.
Haryadi, S, H., & Aprianoto, A. (2020). Integrating “English Pronunciation” App Into Pronunciation Teaching: How It Affects Students’ Participation and Learning. Journal of Languages and Language Teaching, 8(2), 202. https://doi.org/10.33394/jollt.v8i2.2551
Hincks, R. (2003). Speech technologies for pronunciation feedback and evaluation. ReCALL, 15(1), 3–20. https://doi.org/10.1017/S0958344003000211
J.D. O’Connor. (1998). Better English Pronunciation (twentieth). Cambridge University Press.
Joanne, K. (1988). Teaching English Pronuncition. Longman.
Joy Calvo Benzies, Y. (2017). Contributions of new technologies to the teaching of English pronunciation. Language Value, 9(9), 1–35. https://doi.org/10.6035/languagev.2017.9.2
Kannan, J., & Munday, P. (2018). New trends in second language learning and teaching through the lens of ICT, networked learning, and artificial intelligence. Circulo de Linguistica Aplicada a La Comunicacion, 76, 13–30. https://doi.org/10.5209/CLAC.62495
Liakin, D., Cardoso, W., & Liakina, N. (2015). Learning L2 pronunciation with a mobile speech recognizer: French/y/. CALICO Journal, 32(1), 1–25. https://doi.org/10.1558/cj.v32i1.25962
Neri, A., Cucchiarini, C., & Strik, H. (2008). The effectiveness of computer-based speech corrective feedback for improving segmental quality in L2 Dutch. ReCALL, 20(2), 225–243. https://doi.org/10.1017/S0958344008000724
Pokrivcakova, 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. https://doi.org/10.2478/jolace-2019-0025
Richards, J. C. (2015). The changing face of language learning: Learning beyond the classroom. RELC Journal, 46(1), 5–22. https://doi.org/10.1177/0033688214561621
Sarmita Samad, I., & Aminullah, A. (2019). Applying ELSA Speak Software in the Pronunciation Class: Students’ Perception. Edumaspul - Jurnal Pendidikan, 3(1), 56–63. https://doi.org/10.33487/edumaspul.v3i1.85
Tergujeff, E. (2012). English Pronunciation Teaching: Four Case Studies from Finland. Journal of Language Teaching and Research, 3(4), 599–607. https://doi.org/10.4304/jltr.3.4.599-607
Tlazalo Tejeda, A. C., & Basurto Santos, N. M. (2014). Pronunciation Instruction and Students’ Practice to Develop Their Confidence in EFL Oral Skills. PROFILE Issues in Teachers’ Professional Development, 16(2), 151–170. https://doi.org/10.15446/profile.v16n2.46146
Underwood, J. (2017). Exploring AI language assistants with primary EFL students. CALL in a Climate of Change: Adapting to Turbulent Global Conditions – Short Papers from EUROCALL 2017, 2017(2017), 317–321. https://doi.org/10.14705/rpnet.2017.eurocall2017.733
Xodabande, I. (2017). The effectiveness of social media network telegram in teaching English language pronunciation to Iranian EFL learners. Cogent Education, 4(1), 1–14. https://doi.org/10.1080/2331186X.2017.1347081