Spoken language systems aim to provide a natural interface between humans and computers by using simple and natural dialogues to enable the user to access stored information. The LIMSI spoken language work is being pursued in several task domains. In this paper we present a system for vocal access to database for a French version of the Air Travel Information Services (ATIS) task. The ATIS task is a designated common task for data collection and evaluation within the ARPA Speech and Natural Language program. A complete spoken language system including a speech recognizer, a natural language component, a database query generator and a natural language response generator is described. The speaker independent continuous speech recognizer makes use of task-independent acoustic models trained on the BREF corpus and a task-specific language model. A case-frame approach is used for the natural language component. This component determines the meaning of the query and builds an appropriate semantic frame representation. The semantic frame is used to generate a database request to the ddatabase management system and the returned information is used to generate a response. First evaluation results for the ATIS task are given for the recognition and understanding components, as well as for the combined system.
Cite as: Bennacef, S.K., Bonneau-Maynard, H., Gauvain, J.-L., Lamel, L.F., Minker, W. (1994) A spoken language system for information retrieval. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1271-1274, doi: 10.21437/ICSLP.1994-332
@inproceedings{bennacef94_icslp,
author={S. K. Bennacef and H. Bonneau-Maynard and Jean-Luc Gauvain and Lori F. Lamel and Wolfgang Minker},
title={{A spoken language system for information retrieval}},
year=1994,
booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
pages={1271--1274},
doi={10.21437/ICSLP.1994-332}
}