ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Using accent-specific pronunciation modelling for improved large vocabulary continuous speech recognition

J. J. Humphries, P. C. Woodland

A method of modelling accent-specific pronunciation variations is presented. Speech from an unseen accent group is phonetically transcribed such that pronunciation variations may be derived. These context-dependent variations are clustered in decision trees which are used as a model of the pronunciation variation associated with this new accent group. The trees are then used to build a new pronunciation dictionary for use during the recognition process. Experiments are presented, based on Wall Street Journal and WSJCAM0 corpora, for the recognition of American speakers using a British English recogniser. Speaker independent as well as speaker dependent adaptation scenarios are presented, giving up to 20% reduction in word error rate. A linguistic analysis of the pronunciation model is presented and finally the technique is combined with maximum likelihood linear regression, a well proven acoustic adaptation technique, yielding further improvement.


doi: 10.21437/Eurospeech.1997-622

Cite as: Humphries, J.J., Woodland, P.C. (1997) Using accent-specific pronunciation modelling for improved large vocabulary continuous speech recognition. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 2367-2370, doi: 10.21437/Eurospeech.1997-622

@inproceedings{humphries97_eurospeech,
  author={J. J. Humphries and P. C. Woodland},
  title={{Using accent-specific pronunciation modelling for improved large vocabulary continuous speech recognition}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={2367--2370},
  doi={10.21437/Eurospeech.1997-622},
  issn={1018-4074}
}