Design and evaluation of mobile computer-assisted pronunciation training tools for second language learning

García, Cristian Tejedor

doi:10.35376/10324/43663

Cited by 1 publication

(2 citation statements)

References 119 publications

(265 reference statements)

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“…Results of pronunciation improvement and tool description of the Japañol prototype have been partially published in [18,27,28]. Other contributions related to this prototype have been partially published in [29,19]. Also, first results of the latest and ongoing project, Estoñol, have been published in [30] (JCR Q2).…”

Section: Scientific Contributionsmentioning

confidence: 99%

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Design and Evaluation of Mobile Computer-Assisted Pronunciation Training Tools for Second Language Learning: a Ph.D. Thesis Overview

Tejedor-Garcı́a¹,

Cardeñoso-Payo²,

Mancebo³

2021

IberSPEECH 2021

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Recent advances on speech technologies (automatic speech recognition, ASR, and text-to-speech, TTS, synthesis) have led to their integration in computer-assisted pronunciation training (CAPT) tools. However, pronunciation is an area of teaching that has not been developed enough since there is scarce empirical evidence assessing the effectiveness of CAPT tools and games that include ASR/TTS. In this manuscript, we summarize the findings presented in Cristian Tejedor-García's Ph.D. Thesis (University of Valladolid, 2020). In particular, this dissertation addresses the design and validation of an innovative CAPT system for smart devices for training second language (L2) pronunciation at the segmental level with a specific set of methodological choices, such as the inclusion of ASR/TTS technologies with minimal pairs, learner's native-foreign language connection, a training cycle of exposure-perceptionproduction, and individual/social approaches. The experimental research conducted applying these methodological choices with real users validates the efficiency of the CAPT prototypes developed for the four main experiments of this dissertation about English and Spanish as L2. We were able to accurately measure the relative pronunciation improvement of the individuals who trained with them. Expert raters on phonetics' subjective scores and CAPT's objective scores showed a strong correlation, being useful in the future to be able to assess a large amount of data and reducing human costs.

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Section: Scientific Contributionsmentioning

confidence: 99%

“…We also shed light about how far we are with respect to the ideal CAPT scenario presented in the previous paragraph. Interested readers can find the numerical and statistical results of the experimentation in the complete dissertation manuscript [5].…”

Section: Introductionmentioning

confidence: 99%