EUROSPEECH '97
5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997


Language Learning based on Non-Native Speech Recognition

Silke Witt, Steve J. Young

Cambridge University Engineering Department, Cambridge, UK

This work presents methods of assessing non-native speech to aid computer-assisted pronunciation teaching. These methods are based on automatic speech recognition (ASR) techniques using Hidden Markov Models. Confidence scores at the phoneme level are calculated to provide detailed information about the pronunciation quality of a foreign language student. Experimental results are given based on both artificial data and a database of non-native speech, the latter being recorded specifically for this purpose. The presented results demonstrate the metrics' capability to locate and assess mispronunciations at the phoneme level.

Full Paper

Bibliographic reference.  Witt, Silke / Young, Steve J. (1997): "Language learning based on non-native speech recognition", In EUROSPEECH-1997, 633-636.