2017
DOI: 10.3390/languages2030011
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Mobilizing Instruction in a Second-Language Context: Learners’ Perceptions of Two Speech Technologies

Abstract: Abstract:We report the results of two empirical studies that investigated the use of mobile text-to-speech synthesizers (TTS) and automatic speech recognition (ASR) as tools to promote the development of pronunciation skills in L2 French. Specifically, the study examined learners' perceptions of the pedagogical use of these tools in learning a French segment (the vowel /y/, as in tu 'you') and a suprasegmental feature (across-word resyllabification/liaison, observed in petit enfant 'small child'), in a mobile-… Show more

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Cited by 31 publications
(45 citation statements)
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“…Because 94% of 18‐ to 29‐year‐old Americans now own a smartphone (Pew Research Center, ), ASR seems to offer a practical approach to pronunciation learning. Liakin et al's () 7‐week‐long experiment on the perception by Intermediate university learners of French as a second language in Canada explored the usefulness of two mobile applications for their L2 pronunciation learning process. The 14 learners who used ASR (Natural Dragon) completed homework in the form of five weekly 20‐minute read‐aloud tasks of target words or phrases focusing on /y/.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Because 94% of 18‐ to 29‐year‐old Americans now own a smartphone (Pew Research Center, ), ASR seems to offer a practical approach to pronunciation learning. Liakin et al's () 7‐week‐long experiment on the perception by Intermediate university learners of French as a second language in Canada explored the usefulness of two mobile applications for their L2 pronunciation learning process. The 14 learners who used ASR (Natural Dragon) completed homework in the form of five weekly 20‐minute read‐aloud tasks of target words or phrases focusing on /y/.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To alleviate L2 practitioners’ biggest obstacles, the lack of (1) training in the teaching and development of learners’ pronunciation, (2) in‐class time, (3) available resources, and (4) practical assessment procedures (Sicola & Darcy, ), Automatic Speech Recognition (ASR) may offer a workable and efficient approach. As the capacity of ASR to accurately recognize nonnative speech has improved (van Doremalen, Cucchiarini, & Strik, ; Vu, Wang, Klose, Mihaylova, & Schultz, ), new studies emerged (Hsu, ; Liakin et al, ; McCrocklin, ; van Doremalen, Boves, Colpaert, Cucchiarini, & Strik, ). However, most research has tried to establish ASR's benefits for L2 learning in principle, but only McCrocklin () and Liakin et al () investigated it in instructional practice.…”
Section: Introductionmentioning
confidence: 99%
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“…Several authors (Barcomb et al 2017;Isbell et al 2017;Liakin et al 2017;Teeter 2017) mention MALL alongside CALL, as it is generally acknowledged that the former derives from the latter. Therefore, the term "mobile-assisted language learning" and its acronym MALL are historically precise in their reference to "computer-assisted language learning" and CALL.…”
mentioning
confidence: 99%