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

Ghazi Bouselmi 1 Dominique Fohr 1 Irina Illina 1 Jean-Paul Haton 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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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Submitted on : Monday, November 5, 2007 - 4:12:47 PM
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  • HAL Id : inria-00184553, version 1
  • ARXIV : 0711.0666

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Ghazi Bouselmi, Dominique Fohr, Irina Illina, Jean-Paul Haton. Discriminative Phoneme Sequences Extraction for Non-Native Speaker's Origin Classification. International Symposium on Signal Processing and its Applications - ISSPA 2007, Feb 2007, Sharjah, Saudi Arabia. ⟨inria-00184553⟩

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