Semantic confidence measurement for spoken dialog systems

Sarıkaya, Ruhi and Yuqing, Gao and Picheny, Michael and Erdoğan, Hakan (2005) Semantic confidence measurement for spoken dialog systems. IEEE transactions on speech and audio processing, 13 (4). pp. 534-545. ISSN 1063-6676

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This paper proposes two methods to incorporate semantic information into word and concept level confidence measurement. The first method uses tag and extension probabilities obtained from a statistical classer and parser. The second method uses a maximum entropy based semantic structured language model to assign probabilities to each word. Incorporation of semantic features into a lattice posterior probability based confidence measure provides significant improvements compared to posterior probability when used together in an air travel reservation task. At 5% False Alarm (FA) rate relative improvements of 28% and 61% in Correct Acceptance (CA) rate are achieved for word level and concept level confidence measurements, respectively.
Item Type: Article
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Hakan Erdoğan
Date Deposited: 19 Oct 2005 03:00
Last Modified: 15 May 2009 11:53

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