ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Continuous speech recognition with parse filtering

Ken Hanazawa, Shinsuke Sakai

We propose "parse-filtering", a new approach to continuous speech recognition. With it, word sequence hypotheses generated on the basis of N-gram language models are verified by grammar-based parsing during the search for the best-scoring hypothesis, and unparsable hypotheses are filtered out immediately as the search proceeds. Experimental results show that this method yields a higher sentence accuracy than can be achieved with a trigram language model alone. Error reductions are, respectively, 10.0% for word error rate and 12.3% for sentence error rate.


Cite as: Hanazawa, K., Sakai, S. (2000) Continuous speech recognition with parse filtering. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 1, 262-265

@inproceedings{hanazawa00_icslp,
  author={Ken Hanazawa and Shinsuke Sakai},
  title={{Continuous speech recognition with parse filtering}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 1, 262-265}
}