Automatic Speech Recognition for second language learning: How and why it actually works (2003)
| Venue: | IN PROCEEDING OF INTERNATIONAL CONGRESSES OF PHONETIC SCIENCES |
| Citations: | 4 - 0 self |
BibTeX
@INPROCEEDINGS{Neri03automaticspeech,
author = {Ambra Neri and Catia Cucchiarini and Wilhelmus Strik},
title = {Automatic Speech Recognition for second language learning: How and why it actually works},
booktitle = {IN PROCEEDING OF INTERNATIONAL CONGRESSES OF PHONETIC SCIENCES},
year = {2003},
pages = {1157--1160},
publisher = {}
}
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Abstract
In this paper, we examine various studies and reviews on the usability of Automatic Speech Recognition (ASR) technology as a tool to train pronunciation in the second language (L2). We show that part of the criticism that has been addressed to this technology is not warranted, being rather the result of limited familiarity with ASR technology and with broader Computer Assisted Language Learning (CALL) courseware design matters. In our analysis we also consider actual problems of state-of-the-art ASR technology, with a view to indicating how ASR can be employed to develop courseware that is both pedagogically sound and reliable.
