ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Evaluation of second language learners' pronunciation using hidden Markov models

Simo M. A. Goddijn, Guus de Krom

In this study, Hidden Markov Models (HMMs) were used to evaluate pronunciation. Native and non-native speakers were asked to pronounce ten Dutch words. Each word was subsequently evaluated by an expert listener. Her main task was to decide whether a word was spoken by a native or a non-native speaker. For each word type, two versions of prototype HMMs were defined: one to be trained on tokens produced by a single native speaker, and another to be trained on tokens produced by a group of native speakers. For testing the different types of HMM, forced recognition was performed using native and non-native judged tokens. We expected that recognition with multi- speaker HMMs would allow a more effective discrimination between native and non-native tokens than recognition with single-speaker models. A comparison of Equal Error Rates partly confirmed this hypothesis.


doi: 10.21437/Eurospeech.1997-613

Cite as: Goddijn, S.M.A., Krom, G.d. (1997) Evaluation of second language learners' pronunciation using hidden Markov models. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 2331-2334, doi: 10.21437/Eurospeech.1997-613

@inproceedings{goddijn97_eurospeech,
  author={Simo M. A. Goddijn and Guus de Krom},
  title={{Evaluation of second language learners' pronunciation using hidden Markov models}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={2331--2334},
  doi={10.21437/Eurospeech.1997-613},
  issn={1018-4074}
}