Speech recognition of foreign accent

Abstract

This thesis investigates the application of AutoRegressive (AR) modeling techniques on single syllable words to detect foreign accents in spoken American English. The study involves thirty-one native American English speakers, and six native Brazilian speakers. Five different distance measures are used for classification. Results show that correct classification is obtained for 88 % of the native English speakers and 80.5 % of the non-native (foreign) English speakers.