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Title:Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
Authors: Oliver Lemon ; Malte Gabsdil
Date: 2004
Publication Title:Proceedings of ACL 2004 (Meeting of the Association for Computational Linguistics)
Publication Type:Conference Paper Publication Status:Published
Page Nos:343-350
Abstract:
We use machine learners trained on a combination of acoustic confidence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-best recognition hypotheses to a spoken dialogue system. Our best results show a 25% weighted f-score improvement over a baseline system that implements a ``grammar-switching'' approach to context-sensitive speech recognition.
Copyright:
ACL 2004
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Bibtex format
@InProceedings{EDI-INF-RR-0494,
author = { Oliver Lemon and Malte Gabsdil },
title = {Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems},
book title = {Proceedings of ACL 2004 (Meeting of the Association for Computational Linguistics)},
year = 2004,
pages = {343-350},
url = {http://homepages.inf.ed.ac.uk/olemon},
}


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