In interactive speech applications the expected vocabulary and the expected user utterances change from one dialogue step to the next one. The use of several context dependent language models results in a better system performance than the use of a single model. In this paper we present a new approach combining syntactical and statistical language constraints to a single language model. Recognition results on a database of spelled city names are presented. Furthermore a match against the list of all possible city names is performed.
Cite as: Kilian, U., Class, F. (1999) Combining syntactical and statistical language constraints in context-dependent language models for interactive speech applications. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 1935-1938, doi: 10.21437/Eurospeech.1999-425
@inproceedings{kilian99_eurospeech,
author={Ute Kilian and Fritz Class},
title={{Combining syntactical and statistical language constraints in context-dependent language models for interactive speech applications}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={1935--1938},
doi={10.21437/Eurospeech.1999-425}
}