LANGUAGE LEARNING & TECHNOLOGY
A refereed journal for L2 researchers and educators interested in the role of technology in advancing language learning and teaching.
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Showing 131 - 140 results of 253 for Speech Recognition

A model for listening and viewing comprehension in multimedia environments
...speech. In R. A. Cole (Ed.), Perception and production of fluent speech, pp. 115-132. Hillsdale, NJ: Erlbaum Associates. Boyle, J. P. (1984). Factors affecting listening comprehension. ELT Journal 3...

by Debra Hoven
in Volume 03 Number 1, July 1999

Twenty-five years of emerging technologies
...recognition of the 25th anniversary of LLT, this special issue, edited by us along with Godwin-Jones, focuses on how CALL technologies have emerged over time, developing interdependent relationships...

by Jonathon Reinhardt, Anna Oskoz
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL

“A better me”: Using acoustically modified learner voices as models
...speech 2013 (pp. 3077–3081). International Speech Communication Association. https://doi.org/10.21437/Interspeech.2013-191 Boersma, P., & Weenink, D. (2017). Praat: Doing phonetics by computer (Ve...

by Alice J. Henderson, Radek Skarnitzl
in Volume 26 Number 1, 2022

The impact of virtual reality (VR) pedagogy on L2 English learners’ oral communication and pragmatic competence
...speech production, including aspects such as pragmatics. Thus, this study explores the effectiveness of a VR tool on the development of L2 English learners’ oral pragmatic abilities. A quasi-experim...

by Melike Akay, Matt Kessler
in Volume 28 Number 1, 2024

Unpacking EFL students’ engagement with GAI in digital multimodal composing
...recognition, division of labor, and contextual limitations. Based on the findings, we propose a Model of Learner Engagement in GAI-assisted DMC and provide actionable insights for optimizing GAI-int...

by Yu Zhang, Lawrence Jun Zhang, Li Jia, Yumei Yang
in Volume 30 Number 1, 2026

Generalization of Computer Assisted Prosody Training: Quantitative and Qualitative Findings
...speech. The rhythmic structure of speech reflects a hierarchical organization of the temporal sequence of speech sounds into syllables and higher level units of prosodic and syntactic structure. Part ...

by Debra M. Hardison
in Volume 08 Number 1, January 2004

Dialogue systems for language learning: A meta-analysis
...speech.org/archive_v0/slate_2011/papers/sl11_033.pdf Chiu, T.-H., Liou, H.-C., & Yeh, Y. (2007). A study of web-based oral activities enhanced by automatic speech recognition for EFL college learni...

by Serge Bibauw, Wim Van den Noortgate, Thomas François, Piet Desmet
in Volume 26 Number 1, 2022

Review of Contemporary Computer-Assisted Language Learning
...speech recognition to provide pronunciation pointers to students and recent technologies that allow for human-generated digital speech interaction. The chapter concludes by specifying that a future ...

by Ciara Wigham
in Volume 17 Number 2, June 2013

Commentary: You're not studying, you're just...
...speech recognition is another advancement often regarded as a promising candidate for making CALL truly interactive, though to date the number of successful applications has been limited due to its po...

by Ravi Purushotma
in Volume 09 Number 1, January 2005

Technology-enhanced language learning handbook
...speech recognition and response programs undoubtedly exist on the commercial market, these free Internet-based programs allow users without the benefit of a technology-rich institution to practice E...

by Jeffrey Moore
in Volume 19 Number 1, February 2015 Special Issues on Teacher Education and CALL