Inspired by the well-known method for confidence measure calculation via estimation of word posterior probabilities on the word graph, we devised a technique to estimate confidences on all levels of the hierarchically structured output of our one-stage decoder for interpretation of natural speech (ODINS). By constructing a nested lattice hierarchy, the generalized counterpart of the word graph, we estimate posterior probabilities for all nodes in the decoded semantic tree, namely for all contained semantic units and words. The obtained experimental results show that the tree node confidence measure performs significantly better than the confidence error base line, no matter if the evaluation is carried out on tree nodes representing semantic concepts, word classes, or words. Furthermore, the paper proposes possible applications of the tree node confidences to improve the grounding strategy of spoken dialog systems.
Cite as: Lieb, R., Fabian, T., Ruske, G., Thomae, M. (2004) Estimation of semantic confidences on lattice hierarchies. Proc. Interspeech 2004, 569-572, doi: 10.21437/Interspeech.2004-220
@inproceedings{lieb04_interspeech,
author={Robert Lieb and Tibor Fabian and Guenther Ruske and Matthias Thomae},
title={{Estimation of semantic confidences on lattice hierarchies}},
year=2004,
booktitle={Proc. Interspeech 2004},
pages={569--572},
doi={10.21437/Interspeech.2004-220}
}