Pixel International ConferencesPixel International ConferencesThe paper will demonstrate various strategies of integrating speech recognition software into speaking and listening activities. The strategies include using the digital tools that provide immediate feedback on pronunciation and fluency, encouragement of self-evaluation (the students will be able to hear and evaluate their own performance based on given criteria). The usage of speech recognition software will enable the educators to create a learning environment where language acquisition will become more engaging and effective.
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Keywords |
Automated speech recognition, ASR, ELT, automated assessment, speech-to-speech recognition |
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REFERENCES |
[1] Bouillon, P., Cervini, C., Mandich, A., Rayner, E., & Tsourakis, N. (2011, October). Speech recognition for online language learning: Connecting CALL-SLT and DALIA. In Proceedings of the International Conference on ICT for Language Learning (pp. 269-274). Florence, Italy: Simonelli Editore [2] Carrier, M. (2017). Automated Speech Recognition in language learning: Potential models, benefits and impact. Training, Language and Culture, 1(1), 46-61. doi: 10.29366/2017tlc.1.1.3 [3] Rayner M., Hockey B.A. and Bouillon P. Putting Linguistics into Speech Recognition, CSLI,Stanford, 2006. [4] Sutomo, N. (2024). The Implementation of Automated Speech Recognition (ASR) in ELT Classroom: A Systematic Literature Review from 2012-2023. VELES (Voices of English Language Education Society). 7. 816-828. 10.29408/veles.v7i3.23978. |
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