본문 바로가기
KERD
논문KCI 등재

Individual Differences in Perception Toward English Pronunciation Development with ASR Technology

1

조회

0

다운로드

2

인용

0

참고문헌

키워드

주제분류영어와문학

초록

This study examines students’ perception of the use of ASR technology in the self-paced development of English pronunciation. Participants were composed of 80 Korean students from two English listening classes at a university in South Korea. After practicing shadow-reading of the learnt passage, they were required to have their speeches converted into text using ASR technology and submit it as homework every two weeks. At the end of the semester, students completed a survey using written questionnaires regarding their personal information as well as their perception of using ASR technology. The results show that while no salient effects were found with the all the participants as a whole, significant differences were found between students. Specifically, English listening and speaking proficiencies and risk-taking behavior are shown to be strong predictors for successful performance in the ASR-based activity. The results also show that device satisfaction was a significant factor in explaining students’ successful performance in recognizing pronunciation errors and developing English pronunciation proficiency. Based on student responses, both positive and negative aspects of using ASR technology for developing English pronunciation are discussed. The findings suggest that ASR technology can provide pedagogical benefits insofar as its limitations are recognized.

Abstract

This study examines students’ perception of the use of ASR technology in the self-paced development of English pronunciation. Participants were composed of 80 Korean students from two English listening classes at a university in South Korea. After practicing shadow-reading of the learnt passage, they were required to have their speeches converted into text using ASR technology and submit it as homework every two weeks. At the end of the semester, students completed a survey using written questionnaires regarding their personal information as well as their perception of using ASR technology. The results show that while no salient effects were found with the all the participants as a whole, significant differences were found between students. Specifically, English listening and speaking proficiencies and risk-taking behavior are shown to be strong predictors for successful performance in the ASR-based activity. The results also show that device satisfaction was a significant factor in explaining students’ successful performance in recognizing pronunciation errors and developing English pronunciation proficiency. Based on student responses, both positive and negative aspects of using ASR technology for developing English pronunciation are discussed. The findings suggest that ASR technology can provide pedagogical benefits insofar as its limitations are recognized.

참고문헌 (45)

  1. Ahn, T. Y., "User experience of a mobile speaking application with automatic speech recognition for EFL learning", British Journal of Educational Technology, 47(4), pp.778~786 (2016)
  2. Altman, H. B., "Foreign language teaching: Meeting individual needs", pp.1~16 (1980), Pergamon
  3. Anderson, J. N., "Language learning with interactive virtual agent scenarios and speech recognition : Lessons learned", Computer Animation and Virtual Worlds, 19, pp.605~619 (2008)
  4. Atal, B. S., "Speech analysis and synthesis by linear prediction of the speech wave", Journal of the Acoustical Society of America, 50(2), pp.637~655 (1971)
  5. Brown, D. H., "Principles of language learning and teaching" (1994), Prentice Hall Regents
  6. Chiu, T. -L., "A study of web-based oral activities enhanced by automatic speech recognition for EFL college learning", Computer-Assisted Language Learning, 20(3), pp.209~233 (2007)
  7. Cook, A. M., "Assistive technologies: Principles and practice", pp.171~195 (2015), Mosby
  8. Cooper, C., "Individual differences" (2002), Arnold
  9. Catia Cucchiarini, "Oral proficiency training in Dutch L2: The contribution of ASR-based corrective feedback", Speech Communication, 51(10), pp.853~863 (2009), Elsevier BV[DOI]
  10. Dewaele, J. M., "Personality and anxiety", pp.433~450 (2017), Routledge
  11. Dörnyei, Z., "The psychology of the language learners" (2005), Routledge
  12. Ehrman, M., "Adult language learning styles and strategies in an intensive training setting", Modern Language Journal, 74(3), pp.311~326 (1990)
  13. Ehrman, M., "A brief overview of individual differences in second language learning", System, 31(3), pp.313~330 (2003)
  14. Ellis, R., "The study of second language acquisition" (1994), Oxford University Press
  15. Ellis, R., "The handbook of applied linguistics", pp.525~547 (2004), Blackwell
  16. Eskenazi, M., "Using automatic speech processing for foreign language pronunciation tutoring : Some issues and a prototype", Language Learning & Technology, 2(2), pp.62~76 (1999)
  17. Flanagan, J. L., "Speech analysis, synthesis and perception" (1972), Springer-Verlag
  18. "Why is speech recognition difficult? Chalmers university of technolog" (2003)[URL]
  19. Guskaroska, A., "ASR as a tool for providing feedback for vowel pronunciation practice", master’s, pp.2019
  20. Gass, S. M., "Second language acquisition: An introductory course" (2000), Routledge
  21. Horwitz, E. K., "Foreign language classroom anxiety", The Modern Language Journal, 70(2), pp.125~132 (1986)
  22. Jang, S., "English listening practice with VOA news" (2017), Compass Publishing
  23. Jurafsky, D., "Speech and language processing" (2000), Prentice Hall
  24. Khalil, A., "Assessment of language learning strategies used by Palestinian EFL learners", Foreign Language Annals, 38(1), pp.108~119 (2005)
  25. 김애주, "학습자 변인이 언어학습책략 선호에 미치는 영향", 언어학 연구, (17), pp.23~43 (2010), 한국중원언어학회[DOI]
  26. Kim, I. S., "Automatic speech recognition : Reliability and pedagogical implications for teaching pronunciation", Educational Technology & Society, 9(1), pp.322~334 (2006)
  27. Lightbown, P. M., "How languages are learned-Oxford handbooks for language teachers" (2013), Oxford University Press
  28. Magogwe, J., "The relationship between language learning strategies, proficiency, age and self-efficacy beliefs : A study of language learners in Botswana", System, 35(3), pp.338~352 (2007)
  29. "The potential of automatic speech recognition for fostering pronunciation learners’ autonomy" (2014)[URL]
  30. McCrocklin, S., "Pronunciation learner autonomy : The potential of automatic speech recognition", System, 57, pp.25~42 (2016)
  31. Mori, Y., "Beliefs about language learning and their relationship to the ability to integrate information from word parts and context in interpreting novel Kanji words", Modern Language Journal, 83(4), pp.534~547 (1999)
  32. Morton, H., "Speech interactive computer-assisted language learning : A cross-cultural evaluation", Computer Assisted Language Learning, 23(4), pp.295~319 (2010)
  33. Aurore Mroz, "Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition", Foreign Language Annals, 51(3), pp.617~637 (2018), Wiley[DOI]
  34. Neri, A., "The effectiveness of computer assisted pronunciation training for foreign language learning by children", Computer-Assisted Language Learning, 21(5), pp.393~408 (2008)
  35. Oxford, R., "Assessing the use of language learning strategies worldwide with the ESL", EFL version of the strategy inventory for language earning(SILL), 1995, pp.23(1), 1~23
  36. 박아영, "The Study on Automatic Speech Recognizer Utilizing Mobile Platform on Korean EFL Learners’ Pronunciation Development", 디지털콘텐츠학회논문지, 18(6), pp.1101~1107 (2017), 한국디지털콘텐츠학회[DOI]
  37. Park, G-P., "Language learning strategies and English proficiency in Korean university students", Foreign Language Annals, 30(2), pp.211~221 (1997)
  38. Shmais, W., "Language learning strategy use in Palestine", TESL-EJ, 7(2) (2003)
  39. Skehan, P., "Individual differences in second language learning" (1989), Edward Arnold
  40. Spring, Ryan, "Assessing the Practicality of Using an Automatic Speech Recognition Tool to Teach English Pronunciation Online", 영상영어교육, 22(2), pp.93~104 (2021), 영상영어교육학회
  41. Startk, L., "ASR satisfying: The effects of ASR accuracy on speech retrieval", Proceedings of the 6th International Conference on Spoken Language Processing (2000)
  42. Strik, H., "Modeling pronunciation variation for ASR : A survey of the literature", Speech Communication, 29(2), pp.225~246 (2009)
  43. Tanaka, K., "Study-abroad, language proficiency, and learner beliefs about language learning", JALT Journal, 25(1), pp.63~85 (2003)
  44. Thompson, A., "The impact of experience abroad and language proficiency on language learning anxiety", TESOL Quarterly, 48(2), pp.252~274 (2014)
  45. "Development of automatic speech recognition techniques for elderly home support: Applications and challenges" (2015)[URL]

이 간행물의 다른 논문 (6건)