Strategies for name recognition in automatic directory assistance systems (1998)
| Venue: | In Proc. IVTTA |
| Citations: | 15 - 2 self |
BibTeX
@INPROCEEDINGS{Rueber98strategiesfor,
author = {H. Schramm B. Rueber and A. Kellner Fschramm Rueber},
title = {Strategies for name recognition in automatic directory assistance systems},
booktitle = {In Proc. IVTTA},
year = {1998},
pages = {21--26}
}
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Abstract
Abstract The commercial viability of automating large scale directory assistance is shown by presenting new results on the recognition of large numbers of different names. Satisfactory recognition performance is achieved by employing a stochastic combination of N-best lists retrieved from multiple user utterances with the telephone database as an additional knowledge source. The strategy is used in a prototype of a fully automated directory information system which is designed to cover a whole country: After the city has been selected, the user is asked for first and last name of the desired person and, if necessary, also for the street or a spelling of the last name. Confidence measures are used for an optimal dialogue flow.
