NDLI: Computing confidence score of any input phrases for a spoken dialog system

Content Provider	IEEE Xplore Digital Library
Author	Feng Lin Fuliang Weng
Copyright Year	2010
Description	Author affiliation: Research and Technology Center, Robert Bosch LLC, China (Fuliang Weng) \|\| Department of Computer Science and Engineering, Fudan University, China (Feng Lin)
Abstract	One of the main challenges in the development of robust dialog systems is to deal with noisy input due to imperfect results from any speech recognition module. A key step in addressing this noisy input is the computation of confidence for the portions so that the subsequent dialog modules can make use of the confidence scores to design corresponding dialog strategies. While past work in computing confidence scores have been focusing on recognized words, semantic slots, or utterances, this paper is extending the investigation on computing confidence scores for all phrases of a sentence in a dialog system setting. We demonstrated that using a Conditional Maximum Entropy (CME) classifier in combination with features in acoustic, syntactic, and semantic categories, we are able to obtain a high performance for the dialog system application in a restaurant finding domain, specifically, an annotation error rate of 5.1% is reached, which is a very good result for practical user.
Starting Page	295
Ending Page	300
File Size	337965
Page Count	6
File Format	PDF
ISBN	9781424479047
e-ISBN	9781424479023
DOI	10.1109/SLT.2010.5700867
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spoken Dialog system Confidence Parse sub-tree
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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