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Showing 141 - 150 results of 236 for Speech Recognition

Review of Focus on learning technologies
...speech recognition software, like chat bots and voice response systems, has the potential to improve students’ speaking fluency and motivation. She also mentions that massively multiplayer online role...

by Ai-Chu Ding
in Volume 22 Number 2, June 2018 Special Issue on Qualitative Research in CALL

Visual reinforcement through digital zoom technology in FL pronunciation instruction
...speech /r/ and /l. In Proceedings of Eurospeech (Interspeech), 8th European conference on speech communication and technology (pp. 1–4). Geneva, Switzerland. Mayer, R. E. (2009). Multimedia learnin...

by Siqi Wang, Jian Li, Qian Liang
in Volume 28 Number 1, 2024

Beyond the curriculum: Extended discourse practice through self-access pragmatics simulations
...speech recognition technology and natural language processing have been recently utilized for this purpose (e.g., Wik & Hjalmarsson, 2009), but such technologies require expertise in design and impl...

by Tetyana Sydorenko, Zachary Jones, Phoebe Daurio, Steven Thorne
in Volume 24 Number 2, June 2020 Special Issue: Technology-enhanced L2 Instructional Pragmatics

Big data and language learning: Opportunities and challenges
...speech. At the same time, concerns over bias and inequity in data collection and use have increased. In education, those concerns have become more urgent at a time when more and more teaching and le...

by Robert Godwin-Jones
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research

EFL students' self-directed learning of conversation skills with AI chatbots
...speech, (b) indicator, for example, a chatbot’s sign of trouble, (c) response, for example, a student’s corrected speech, and d) continuation, for example, a chatbot’s acceptance and follow-up speech...

by Sooyeon Kang, Min-Chang Sung
in Volume 28 Number 1, 2024

Review of Online Intercultural Exchanges: An Introduction for Foreign Language Teachers
...speech match one of Byram’s five ICC principles. In Chapter 8, Andreas Müller-Hartmann discusses the crucial and central role of teachers in telecollaborative projects, including tips on establish...

by Dawn Bikowski
in Volume 15 Number 1, February 2011 Special Issue: Multilateral Online Exchanges for Language and Culture Learning

Review of LearningBranch
...speech recognition (ASR) algorithm. The ASR works on the basis of a match between student audio input and the anticipated response which the lesson creator types in to guide the algorithm. Written i...

by Jack Burston
in Volume 23 Number 2, June 2019

Mobile-assisted language learning: A selected annotated bibliography of implementation studies 1994–2012
...speech feature to assist reading definitions, and a speech recognition system for pronunciation practice. ALEX© was well received by the learners. Munteanu, C., Molyneaux, H., McDonald, D., Lumsden...

by Jack Burston
in Volume 17 Number 3, October 2013 Special Issue on MALL

Methodological innovation for the study of request production in telecollaboration
...speech and tends to isolate the speech act from the surrounding discourse using instruments such as discourse completion tasks. While some naturalistic speech contexts (e.g., academic advising sessi...

by Joseph D. Cunningham
in Volume 21 Number 1, February 2017 Special Issue on Methodological Innovation in CALL Research

Second language writing online: An update
...recognition of writing as a social act has also led to a significant rise in interest in collaborative writing. This has been aided by the popularity of tools providing a shared writing space, such a...

by Robert Godwin-Jones
in Volume 22 Number 1, February 2018