Examining vowel intelligibility in Brazilian Portuguese EFL learners: A study using Automatic Speech Recognition

Autores

DOI:

https://doi.org/10.5007/2175-8026.2024.e98870

Palavras-chave:

L2 pronunciation, Automatic Speech Recognition, Intelligibility, Vowel production, Autonomous learning

Resumo

As traditional EFL classrooms often struggle with limited time and input for pronunciation instruction, technologies such as Automatic Speech Recognition (ASR) may serve as a complementary tool to aid learners in the acquisition of specific English sounds. However, in order to consider the usefulness of ASR tools, more careful testing should be conducted in order to observe their ability to perform in specific contexts. The objective of the present study was to replicate Authors (2022) by examining how Microsoft Word Dictate judged the intelligibility of Brazilian Portuguese speakers of English. Contrary to Authors (2022) who examined continuous speech, the present study focused on vowels embedded in isolated words. Results showed that the intelligibility was low (50%) in comparison to Authors (2022). Discussion centers around the uses of ASR on FL pronunciation development in autonomous learning and instructed settings.

Biografia do Autor

Hanna Kivisto-de Souza, Universidade Federal de Santa Catarina

Hanna Kivistö de Souza is an Associate Professor at the Federal University of Santa Catarina (UFSC) in Brazil where she teaches and advises at the undergraduate and graduate levels. Her main research interests are L2 speech acquisition and cognitive- and psycholinguistics applied to SLA. She is especially fascinated by the role of phonological (self)awareness in L2 speech acquisition and has conducted research mostly on explicit and implicit phonological awareness as well as phonological self-awareness.

Fhelippe Waltelon Souza dos Santos, Universidade Federal de Santa Catarina

Fhelippe Santos é um pesquisador na área de fonética e fonologia, obtendo graduação em Letras - Inglês pela Universidade Federal de Santa Catarina (UFSC) e mestrado pelo Programa de Pós-Graduação em Inglês (PPGI). Durante sua formação acadêmica, Fhelippe Santos desenvolveu pesquisas nas subáreas da linguística que envolve diferenças individuais, tecnologias digitais, e inteligibilidade. Atualmente, Fhelippe Santos é candidato a doutorado pela Universidade Federal de Santa Catarina pela PPGI, durante o período de 2024-2028.

Referências

Baran-Łucarz, M. (2016). Conceptualizing and Measuring the Construct of Pronunciation Anxiety: Results of a Pilot Study. In M. Pawlak (Ed.), Classroom-Oriented Research: Reconciling Theory and Practice (pp. 39-56). Springer International Publishing. https://doi.org/10.1007/978-3-319-30373-4_3

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 (Linköping), 99, 102496. https://doi.org/10.1016/j.system.2021.102496

Bion, R., Escudero, P., Rauber, A., & Baptista, B. (2006). Category formation and the role of spectral quality in the perception and production of English front vowels. In: Interspeech 2006 - ICSLP, Ninth international conference on spoken language processing, pittsburg. https://doi.org/10.21437/Interspeech.2006-411

Burleson, D. (2007). Improving Intelligibility of Non-Native Speech with Computer-Assisted Phonological Training. IULC Working Papers Online

Celce-Murcia, M.; Brinton, D.; & Goodwin, J. (2010) Teaching Pronunciation: A Course Book and Reference Guide. New york:Cambridge University Press,.

Chun, D. M. (2011) Computer-Assisted Language Learning. In: HINKEL, Eli (ed.). Handbook of Research in Second Language Teaching and Learning. New York: Routledge, 663-680.

Chun, D. M. (2013) Computer-Assisted Pronunciation Teaching. In: The Encyclopedia of Applied Linguistics. New Jersey: Blackwell Publishing Ltd. 1-11

Coniam, D. (1999) Voice recognition software accuracy with second language speakers of English. System, 27(1) 49-64,

Derwing, T. (2010) Utopian goals for pronunciation teaching. In: Pronunciation in second language learning and teaching proceedings, Iowa: Iowa State University.

Derwing, T. M.; & Munro, M. J. (2022) Pronunciation Learning and Teaching. In: Derwing, T. M.; Munro, M. J.; & Thomson, R. I. (ed.). The Routledge handbook of second language acquisition and speaking. New York: Routledge, 147-159.

Derwing, T. M., Munro, M. J., & Carbonaro, M. (2000). Does popular speech recognition software work with ESL speech? Tesol Quarterly, 34(3), 592-603. https://doi.org/10.2307/3587748

Flege, J., & Bohn, O.-S. (2021). The Revised Speech Learning Model (SLM-r). Second Language Speech Learning: Theoretical and Empirical Progress. Cambridge: Cambridge University Press. 3-83.

Gonçalves, A. R., & Silveira, R. (2015) Intelligibility research in Brazil: empirical findings and methodological issues. Revista Horizontes De Linguistica Aplicada, 14(1). 51-81

Hincks, R. (2003) Speech technologies for pronunciation feedback and evaluation. ReCALL, 15, 3-20. https://doi.org/10.1017/S0958344003000211

Jin, S.H.; & Liu, C. (2014) Intelligibility of American English vowels and consonants spoken by international students in the US. Journal of speech, language, and hearing research : JSLHR, 57. https://doi.org/10.1044/2014_JSLHR-H-13-0047

Juang, B.; & Rabiner, L. (2005) Automatic Speech Recognition - a brief history of the technology development. Elsevier Encyclopedia of Language and Linguistics.

Kang, O.; Thomson, R. I.; & Moran, M. (2018) Empirical approaches to measuring the intelligibility of different varieties of English in predicting listener comprehension. Language Learning, 68(1), 115-146.

Kivistö-de Souza, H., Gottardi, W. (2022). How well can ASR technology understand foreign-accented speech? Trabalhos em Linguística Aplicada, 61. https://doi.org/10.1590/010318138668782v61n32022.

Levis, J. (2005) Changing contexts and shifting paradigms in pronunciation teaching. TESOL Quarterly, 39.

Levis, J. M.; & Silpachai, A. O. (2022) Speech intelligibility. In: Derwing, T. M.; Munro, M. J.; & Thomson, R. I. (ed.). The routledge handbook of second language acquisition and speaking. New York: Routledge, 10, 160-173.

Lima Junior, R. M. (2015) A influência da idade na aquisição de seis vogais do inglês por alunos brasileiros. Organon, 30.

Lima Junior, R. M. (2017) The influence of metalinguistic knowledge of segmental phonology on the production of english vowels by Brazilian undergraduate students. Ilha do Desterro, 70, 17-130,

Lima Junior., R. M. (2019) A longitudinal study on the acquisition of six English vowels by Brazilian learners. In: Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS), Melbourne. Canberra: Australasian Speech Science and Technology Association Inc. 3180-3184.

McCrocklin, S., & Edalatishams, I. (2020). Revisiting Popular Speech Recognition Software for ESL Speech. Tesol Quarterly, 54(4), 1086-1097. https://doi.org/10.1002/tesq.3006

Miller, N. (2013). Measuring up to speech intelligibility. International Journal of Language & Communication Disorders, 48(6), 601-612. https://doi.org/https://doi.org/10.1111/1460-6984.12061

Mroz, A. (2018). Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition. Foreign Language Annals, 51. https://doi.org/10.1111/flan.12348

Munro, M. J., & Derwing, T. M. (1995). Foreign Accent, Comprehensibility, and Intelligibility in the Speech of Second Language Learners. Language Learning, 45(1), 73-97. https://doi.org/https://doi.org/10.1111/j.1467-1770.1995.tb00963.x

Munro, M. J., & Derwing, T. M. (1999). Foreign accent, comprehensibility, and intelligibility in the speech of second language learners. Language Learning, 49(Suppl 1), 285-310. https://doi.org/10.1111/0023-8333.49.s1.8

Munro, M. J., Derwing, T. M., & Morton, S. L. (2006). THE MUTUAL INTELLIGIBILITY OF L2 SPEECH. Studies in Second Language Acquisition, 28(1), 111-131. https://doi.org/10.1017/S0272263106060049

Neri, A., Cucchiarini, C., & Strik, H. (2008). The Effectiveness of Computer-Based Speech Corrective Feedback for Improving Segmental Quality in L2 Dutch. ReCALL © European Association for Computer Assisted Language Learning, 20, 225-243. https://doi.org/10.1017/S0958344008000724

Nobre-Oliveira, D. (2007) The effect of perceptual training on the learning of English vowels by Brazilian Portuguese speakers. [Doctoral dissertation - Universidade Federal de Santa Catarina]

Rauber, A. S. (2006) Perception and production of English vowels by Brazilian EFL speakers. [Doctoral dissertation - Universidade Federal de Santa Catarina]

Shibano, T., Zhang, X., Li, M., Cho, H., Sullivan, P., & Abdul-Mageed, M. (2021). Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English. ArXiv, abs/2110.00678.

Silveira, R. (2004) The influence of pronunciation instruction on the perception and the production of English word-final consonants. [Doctoral dissertation - Universidade Federal de Santa Catarina]

Silveira, R., Zimmer, M., Alves, U. K.(2009) Pronunciation Instruction for Brazilians: bringing theory and practice together. Newcastle: Cambridge Scholars Publishing,

Tejedor-García, C., Escudero-Mancebo, D., Cámara-Arenas, E., González-Ferreras, C., & Cardeñoso-Payo, V. (2020). Assessing Pronunciation Improvement in Students of English Using a Controlled Computer-Assisted Pronunciation Tool. IEEE Transactions on Learning Technologies, 13(2), 269-282. https://doi.org/10.1109/TLT.2020.2980261

Thomson, R., & Derwing, T. (2014). The Effectiveness of L2 Pronunciation Instruction: A Narrative Review. Applied Linguistics, 2014, 1-20. https://doi.org/10.1093/applin/amu076

Wachowicz, K. A., & Scott, B. (1999). Software That Listens: It's Not a Question of Whether, It's a Question of How. CALICO Journal, 16(3), 253-276.

Weinberger, S. (2015) Speech Accent Archive. George Mason University. Retrieved from http://accent.gmu.edu

Publicado

2024-11-08

Edição

Seção

Dossiê em Estudos Linguísticos

Categorias