Automatic Speech Recognition and Pronunciation Training

DOI

10.2991/iceemr-18.2018.109How to use a DOI?

Keywords

pronunciation, ASR, scoring, feedback

Abstract

Automatic speech recognition (ASR) is providing more speaking opportunities for second language learners. With its progress in more accurate error detecting, the application of ASR in language teaching holds huge potential to practice and improve pronunciation. The purpose of the study is to present the features and application of ASR in second language learning. This paper firstly focuses on presenting the available literature on pronunciation training. Then the effectiveness of the ASR in evaluating the pronunciation data and providing feedback is discussed by referring to some evidence. It is found that state-of-the-art ASR is conducive as a pronunciation measurement, but the feedback provided by ASR is less effective.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenqi Xiao
PY  - 2018/06
DA  - 2018/06
TI  - Automatic Speech Recognition and Pronunciation Training
BT  - Proceedings of the 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018)
PB  - Atlantis Press
SP  - 466
EP  - 468
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemr-18.2018.109
DO  - 10.2991/iceemr-18.2018.109
ID  - Xiao2018/06
ER  -