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Implementation of a non-native pronunciation dictionary for automatic recognition of utterances by Korean learners of English

  • Journal of Humanities, Seoul National University
  • 2006, (56), pp.99-122
  • Publisher : Institute of Humanities, Seoul National University
  • Research Area : Humanities > Other Humanities

Tae-Yeoub Jang 1

1한국외국어대학교

Candidate

ABSTRACT

Implementation of a non-native pronunciation dictionary for automatic recognition of utterances by Korean learners of English Jang, Tae-Yeoub This paper introduces a way of enhancing automatic speech recognition systems in processing non-native speakers' utterances. The key procedure is to design and provide an English pronunciation dictionary which includes frequent error pronunciations by Korean learners as if they were regular pronunciation variations. First, knowledge-based rules are collected to generate as many non-native variants as possible. Then the relative frequency of each variant is measured to select more frequent error-variants while discarding rare ones. In automatic recognition experiments with this dictionary, it is found that the word recognition performance increases considerably for Korean learners' incorrect pronunciation. Although utterances by Korean learners of English are the main target data of the current study, the proposed method is expected to be further available in other language environments.

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