Automatic sentence stress feedback for non-native English learners

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This paper proposes a sentence stress feedback system in which sentence stress prediction, detection, and feedback provision models are combined. This system provides non-native learners with feedback on sentence stress errors so that they can improve their English rhythm and fluency in a self-study setting. The sentence stress feedback system was devised to predict and detect the sentence stress of any practice sentence. The accuracy of the prediction and detection models was 96.6% and 84.1%, respectively. The stress feedback provision model offers positive or negative stress feedback for each spoken word by comparing the probability of the predicted stress pattern with that of the detected stress pattern. In an experiment that evaluated the educational effect of the proposed system incorporated in our CALL system, significant improvements in accentedness and rhythm were seen with the students who trained with our system but not with those in the control group. (C) 2016 The Authors. Published by Elsevier Ltd.
Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Issue Date
2017-01
Language
English
Article Type
Article
Citation

COMPUTER SPEECH AND LANGUAGE, v.41, pp.29 - 42

ISSN
0885-2308
DOI
10.1016/j.csl.2016.04.003
URI
http://hdl.handle.net/10203/285641
Appears in Collection
HSS-Journal Papers(저널논문)
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