Discriminative Phoneme Sequences Extraction for Non-Native Speaker's Origin Classification

Ghazi Bouselmi (INRIA Lorraine - LORIA), Dominique Fohr (INRIA Lorraine - LORIA), Irina Illina (INRIA Lorraine - LORIA), Jean-Paul Haton (INRIA Lorraine - LORIA)
Arxiv ID: 711.0666Last updated: 11/6/2007
In this paper we present an automated method for the classification of the origin of non-native speakers. The origin of non-native speakers could be identified by a human listener based on the detection of typical pronunciations for each nationality. Thus we suppose the existence of several phoneme sequences that might allow the classification of the origin of non-native speakers. Our new method is based on the extraction of discriminative sequences of phonemes from a non-native English speech database. These sequences are used to construct a probabilistic classifier for the speakers' origin. The existence of discriminative phone sequences in non-native speech is a significant result of this work. The system that we have developed achieved a significant correct classification rate of 96.3% and a significant error reduction compared to some other tested techniques.

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