Herron, D, Menzel, W, Atwell, E et al. (4 more authors) (1999) Automatic localization and diagnosis of pronunciation errors for second-language learners of English. In: Sixth European Conference on Speech Communication and Technology, EUROSPEECH 1999, Budapest, Hungary, September 5-9, 1999. Sixth European Conference on Speech Communication and Technology, EUROSPEECH 1999, 05-09 Sep 1999, Budapest, Hungary. ISCA
Abstract
An automatic system for detection of pronunciation errors by adult learners of English is embedded in a language–learning package. Four main features are: (1) a recognizer robust to non–native speech; (2) localization of phone– and word–level errors; (3) diagnosis of what sorts of phone–level errors took place; and (4) a lexical–stress detector. These tools together allow robust, consistent, and specific feedback on pronunciation errors, unlike many previous systems that provide feedbaconly at a more general level. The diagnosis technique searches for errors expected based on the student’s mother tongue and uses a separate bias for each error in order to maintain a particular desired global false alarm rate. Results are presented here for non–native recognition on tasks of differing complexity and for diagnosis, based on a data set of artificial errors, showing that this method can detect many contrasts with a high hit rate and a low false alarm rate.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Herron, D, Menzel, W, Atwell, E, Bisiani, R, Daneluzzi, F, Morton, R and Schmidt, JA (c) 1999, University of Leeds. Reproduced with permission from the copyright holders. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Dec 2014 10:35 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://www.informatik.uni-trier.de/~ley/db/conf/in... |
Status: | Published |
Publisher: | ISCA |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81667 |