Speech recognition of foreign accent
94Jun_Dewey.pdf (2.510Mb)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.
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