JOURNAL ARTICLE

Automatic Speech Recognition and Pronunciation Training

Wenqi Xiao

Year: 2018 Journal:   Proceedings of the 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018)

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-ofthe-art ASR is conducive as a pronunciation measurement, but the feedback provided by ASR is less effective.

Keywords:
Pronunciation Computer science Speech recognition Training (meteorology) Natural language processing Artificial intelligence Linguistics

Metrics

1
Cited By
0.80
FWCI (Field Weighted Citation Impact)
17
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
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