Pronounciation analysis and mispronounciation detection
Loading...
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
We are interested in developing software that can automatically recognize particular phone segments that a non-native student of a foreign language has pronounced incorrectly. A language training system can provide the student with feedback about individual pronunciation errors by using the information about the phone level. For this purpose, in this work, I am trying to develop a transformer model that will recognize spell errors in speech. There were two strategies that were examined: the first one on the original audio dataset, and the second one on the synthetically augmented dataset. Both experiments were compared in this work.
Description
Keywords
software, phone, segments, a non-native student, foreign language, dataset