The Usefulness of Automatic Speech Recognition (ASR) Eyespeak Software in Improving Iraqi EFL Students’ Pronunciation

Lina Fathi Sidig Sidgi, Ahmad Jelani Shaari


The present study focuses on determining whether automatic speech recognition (ASR) technology is reliable for improving English pronunciation to Iraqi EFL students. Non-native learners of English are generally concerned about improving their pronunciation skills, and Iraqi students face difficulties in pronouncing English sounds that are not found in their native language (Arabic). This study is concerned with ASR and its effectiveness in overcoming this difficulty. The data were obtained from twenty participants randomly selected from first-year college students at Al-Turath University College from the Department of English in Baghdad-Iraq. The students had participated in a two month pronunciation instruction course using ASR Eyespeak software. At the end of the pronunciation instruction course using ASR Eyespeak software, the students completed a questionnaire to get their opinions about the usefulness of the ASR Eyespeak in improving their pronunciation. The findings of the study revealed that the students found ASR Eyespeak software very useful in improving their pronunciation and helping them realise their pronunciation mistakes. They also reported that learning pronunciation with ASR Eyespeak enjoyable. 



automatic speech recognition, ASR, pronunciation instruction, English as a foreign language, EFL

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Ai, R. (2013). Recent advances in natural language processing: Perceptual feedback in computer assisted pronunciation training: A survey. [Online] Available: (February 18, 2017).

Beelders, T.R., & Blignaut, P.J. (2011). The usability of speech and eye gaze as a multimodal interface for a word processor. INTECH Open Access Publisher.

Carter, R., & Nunan, D. (2001). The Cambridge guide to teaching English to speakers of other languages. Cambridge: Cambridge University Press.

Cucchiarini, C. (2009). Comparing different approaches for automatic pronunciation error detection. Speech Communication. 51(10), 845‒852.

Cylwik, N., Wagner, A., & Demenko, G. (2009). The EURONOUNCE corpus of non-native Polish for ASR-based Pronunciation Tutoring System, Proceedings of SLaTE Workshop on Speech and Language Technology in Education, Wroxall Abbey Estate, Warwickshire, 85‒88.

Demenko, G., Wagner, A., & Cylwik, N. (2010). The use of speech technology in foreign language pronunciation training. Archives of Acoustics, 35(3), 309‒329.

Elimat, A. K., & AbuSeileek, A. F. (2014). Automatic speech recognition technology as an effective means for teaching pronunciation. [PDF]. Available: (December 5, 2016).

Eskenazi, M. (1999). Using automatic speech processing for foreign language pronunciation tutoring: Some issues and a prototype. Language Learning & Technology, 2(2), 62–76.

Forsberg, M. (2003). Why Is Speech Recognition Difficult? Chalmers University of Technology. [Online] Available: (February 20, 2017)

Freeman, D. (1998). 'Catch[ing] the nearest way': Macbeth and cognitive metaphor. In Culpeper, J., Short, M. & Verdonk (eds.), Exploring the Language of Drama: From text to context. London: Routledge, 96-111.

Hassan, E. (2014). Pronunciation problems: A case study of English language students at Sudan University of Science and Technology. English Language and Literature Studies, 4(4). http:/doi:10.5539/ells.v4n4p31

Homeidan, A. H. (1984). Utilizing the Theory of articulatory settings in the teaching of English pronunciation to Saudi students learning English as a second language. (Doctoral dissertation), King Fahd Public Library, Jeddah, Saudi Arabia.

Jurafsky, D. & Martin, J. (2000). Speech and language processing (1st ed.). Upper Saddle River, N.J.: Prentice Hall.

Kim, I. S. (2006). Automatic speech recognition: Reliability and pedagogical implications for teaching pronunciation. Educational Technology & Society. 9(1), 322‒334.

Kommissarchik, J., & Komissarchik, E. (2000). Better accent tutor analysis and visualization of speech prosody. Proceedings of InSTILL, 86‒89.

McCrocklin, S. M. (2014). The potential of automatic speech Recognition for fostering pronunciation learners' autonomy. [Online] Available: (December 5, 2016).

Murray, G. L. (1999). Autonomy in language learning in a simulated environment. System (27), 295‒308.

Neri, A. (2007). The pedagogical effectiveness of ASR-based computer assisted pronunciation training. [Online] Available: (December 5, 2016).

Nylén, P. (2009). Learning English with the use of ICT: An action research study on students' attitudes. Växjö University. DIVA Academic Archive. [Online] Available: (February 18, 2017).

Odisho, E. (2005). Techniques of teaching comparative pronunciation in Arabic and English. New Jersey: Gorgias Press LLC.

Stark, L., Whittaker, S., and Hirschberg, J. (2000). ASR satisficing: the effects of ASR accuracy on speech retrieval. In Proceedings of International Conference on Spoken Language Processing.

Strik, H. (2009). Oral proficiency training in Dutch L2: The contribution of ASR-based corrective feedback. Speech Communication, 51(10), 853‒863.

Strik, H., & Cucchiarini, C. (2009). Modeling pronunciation variation for ASR: A survey of the literature. Speech Communication. 29(2), 225‒246.

Wester, M. (2013). Pronunciation modeling for ASR–knowledge-based and data-derived methods. Computer Speech & Language. 17(1), 69‒85.

Witt, S.M. (2012). Automatic error detection in pronunciation training: Where we are and where we need to go. In International Symposium on Automatic Detection of Errors in Pronunciation Training, Stockholm, Sweden.

Zajechowski, M. (2014). Automatic speech recognition (ASR) software – An introduction. [Online] Available: (December 5, 2016).

Zavaliagkos, G. (2011). Stochastic pronunciation modelling from hand-labelled phonetic corpora. Speech Communication, 29(2), 209‒224.



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