ISCA Archive Interspeech 2014
ISCA Archive Interspeech 2014

A comparison of GMM-HMM and DNN-HMM based pronunciation verification techniques for use in the assessment of childhood apraxia of speech

Mostafa Shahin, Beena Ahmed, Jacqueline McKechnie, Kirrie Ballard, Ricardo Gutierrez-Osuna

This paper introduces a pronunciation verification method to be used in an automatic assessment therapy tool of child disordered speech. The proposed method creates a phone-based search lattice that is flexible enough to cover all probable mispronunciations. This allows us to verify the correctness of the pronunciation and detect the incorrect phonemes produced by the child. We compare between two different acoustic models, the conventional GMM-HMM and the hybrid DNN-HMM. Results show that the hybrid DNN-HMM outperforms the conventional GMM-HMM for all experiments on both normal and disordered speech. The total correctness accuracy of the system at the phoneme level is above 85% when used with disordered speech.


doi: 10.21437/Interspeech.2014-377

Cite as: Shahin, M., Ahmed, B., McKechnie, J., Ballard, K., Gutierrez-Osuna, R. (2014) A comparison of GMM-HMM and DNN-HMM based pronunciation verification techniques for use in the assessment of childhood apraxia of speech. Proc. Interspeech 2014, 1583-1587, doi: 10.21437/Interspeech.2014-377

@inproceedings{shahin14_interspeech,
  author={Mostafa Shahin and Beena Ahmed and Jacqueline McKechnie and Kirrie Ballard and Ricardo Gutierrez-Osuna},
  title={{A comparison of GMM-HMM and DNN-HMM based pronunciation verification techniques for use in the assessment of childhood apraxia of speech}},
  year=2014,
  booktitle={Proc. Interspeech 2014},
  pages={1583--1587},
  doi={10.21437/Interspeech.2014-377},
  issn={2308-457X}
}