ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Accent modeling based on pronunciation dictionary adaptation for large vocabulary Mandarin speech recognition

Chao Huang, Eric Chang, Jianlai Zhou, Kai-Fu Lee

A method of accent modeling through Pronunciation Dictionary Adaptation (PDA) is presented. We derive the pronunciation variation between canonical speaker groups and accent groups and add an encoding of the differences to a canonical dictionary to create a new, adapted dictionary that reflects the accent characteristics. The pronunciation variation information is then integrated with acoustic and language models into a one-pass search framework. It is assumed that acoustic deviation and pronunciation variation are independent but complementary phenomena that cause poor performance among accented speakers. Therefore, MLLR, an efficient model adaptation technique, is also presented both alone and in combination with PDA. It is shown that when PDA, MLLR and PDA+MLLR are used, error rate reductions of 13.9%, 24.1% and 28.4% respectively are achieved.


Cite as: Huang, C., Chang, E., Zhou, J., Lee, K.-F. (2000) Accent modeling based on pronunciation dictionary adaptation for large vocabulary Mandarin speech recognition. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 818-821

@inproceedings{huang00d_icslp,
  author={Chao Huang and Eric Chang and Jianlai Zhou and Kai-Fu Lee},
  title={{Accent modeling based on pronunciation dictionary adaptation for large vocabulary Mandarin speech recognition}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 3, 818-821}
}