Second Language Studies: Acquisition, Learning, Education and Technology
This paper describes a pronunciation error detection method for Repetitor, a pronunciation training computer program for second language learners of Dutch. A database of L2-speech was constructed and a selection of relevant pronunciation errors for Repetitor was made. Our error detection method is based on a weighted variant selection using forced alignment. Tested on the database, the results show that our method achieves satisfactory detection performance for most pronunciation errors yielding a precision of correct rejects of over 85% for most errors, and scoring accuracies between 85% and 100%.
Bibliographic reference. Sanders, Eric / Heuvel, Henk van den (2010): "Automatic pronunciation error detection in repetitor", In L2WS-2010, paper O2-4.