SLAP: A System For The Detection And Correction Of Pronunciation For Second Language Acquisition
Abstract
We describe a system for the training of Second Language Acquisition Pronunciation (SLAP) for nonnative speakers. This speech recognition-based system is designed to mimic the valuable interactions between second-language students aid a fluent teacher. For our system, when a student speaks a word into SLAP's microphone, it is analyzed to determine the part of the word (if any) that is incorrectly pronounced. A fluent utterance of the word is then played back to the student with emphasis on the mispronounced part of the word. Just as a live teacher naturally does, the difficult part of the word is played back louder, extended in time and possibly with higher pitch. Current products on the market lack robustness and have no provision for playing back and emphasizing the incorrect portion. We demonstrate SLAP on a multisyllabic word to show typical performance.
Recommended Citation
L. Gu and J. G. Harris, "SLAP: A System For The Detection And Correction Of Pronunciation For Second Language Acquisition," Proceedings IEEE International Symposium on Circuits and Systems, vol. 2, pp. II580 - II583, Institute of Electrical and Electronics Engineers, Jul 2003.
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
0271-4310
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
14 Jul 2003
