In this paper, we introduce the multi-stage configuration for the interpretation of user's queries in our spoken dialogue system. In this configuration, a recovery mechanism is used to detect and recover the errors arising from speech recognition. To efficiently incorporate with this recovery mechanism, a recognition scheme that can provide a compact word graph is developed. The compact word graph is generated through a pruning method based on the N-best sentence score. Instead of setting threshold, we use the N-best sentence score to select word hypotheses of the compact word graph.
Cite as: Chien, S.-C., Chang, S.-C. (2001) Compact word graph in spoken dialogue system. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1307-1310, doi: 10.21437/Eurospeech.2001-338
@inproceedings{chien01b_eurospeech,
author={Shih-Chieh Chien and Sen-Chia Chang},
title={{Compact word graph in spoken dialogue system}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={1307--1310},
doi={10.21437/Eurospeech.2001-338}
}