Sixth European Conference on Speech Communication and Technology
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 feedback only 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.
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Bibliographic reference. Herron, Daniel / Menzel, Wolfgang / Atwell, Eric / Bisiani, Roberto / Daneluzzi, Fabio / Morton, Rachel / Schmidt, Juergen A. (1999): "Automatic localization and diagnosis of pronunciation errors for second-language learners of English", In EUROSPEECH'99, 855-858.