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

abstract

  • Copyright 2014 ISCA. 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 phonebased 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 DNNHMM 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.

name of conference

  • Interspeech 2014

published proceedings

  • Interspeech 2014

author list (cited authors)

  • Shahin, M., Ahmed, B., McKechnie, J., Ballard, K., & Gutierrez-Osuna, R.

citation count

  • 12

complete list of authors

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

editor list (cited editors)

  • Li, H., Meng, H. M., Ma, B., Chng, E., & Xie, L.

publication date

  • January 2014