ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Integration of grammar and statistical language constraints for partial word-sequence recognition

Hajime Tsukada, Hirofumi Yamamoto, Yoshinori Sagisaka

This paper proposes a novel spontaneous speech recognition approach to obtain not a whole utterance but reliably recognized partial segments of an utterance to achieve robust speech understanding. Our method obtains reliably recognized partial segments of an utterance by using both grammatical and n-gram based statistical language constraints cooperatively, and uses a robust parsing technique to apply the grammatical constraints. Through an experiment, it has been confirmed that the proposed method can recognize partial segments of an utterance with a higher reliability than conventional continuous speech recognition methods using an n-gram based statistical language model.


doi: 10.21437/Eurospeech.1997-696

Cite as: Tsukada, H., Yamamoto, H., Sagisaka, Y. (1997) Integration of grammar and statistical language constraints for partial word-sequence recognition. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 2759-2762, doi: 10.21437/Eurospeech.1997-696

@inproceedings{tsukada97_eurospeech,
  author={Hajime Tsukada and Hirofumi Yamamoto and Yoshinori Sagisaka},
  title={{Integration of grammar and statistical language constraints for partial word-sequence recognition}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={2759--2762},
  doi={10.21437/Eurospeech.1997-696},
  issn={1018-4074}
}