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

Rhodes, Greece
September 22-25, 1997


Foreign Speaker Accent Classification Using Phoneme-Dependent Accent Discrimination Models and Comparisons with Human Perception Benchmarks

Karsten Kumpf (2), Robin W. King (1)

(2) Speech Technology Research Group Department of Electrical Engineering, University of Sydney, Australia (1) Faculty of Information Technology, University of South Australia, Australia

This paper reports on the development of a foreign speaker accent classification system based on phoneme class specific accent discrimination models. This new approach to the problem of automatic accent classification allows fast and reliable prediction of the speaker accents for continuous speech through exploitation of the accent specific information at the phoneme level. The system was trained and evaluated on a corpus representing three speaker groups with native Australian English (AuE), Lebanese Arabic (LA) and South Vietnamese (SV) accents. The speaker accent classification rates achieved by our system come close to the benchmarks set by human listeners.

Full Paper

Bibliographic reference.  Kumpf, Karsten / King, Robin W. (1997): "Foreign speaker accent classification using phoneme-dependent accent discrimination models and comparisons with human perception benchmarks", In EUROSPEECH-1997, 2323-2326.