NDLI: Word and phone level acoustic confidence scoring

Content Provider	IEEE Xplore Digital Library
Author	Kamppari, S.O. Hazen, T.J.
Copyright Year	2000
Description	Author affiliation: Spoken Language Syst. Group, MIT, Cambridge, MA, USA (Kamppari, S.O.)
Abstract	This paper presents a word level confidence scoring technique based on a combination of multiple features extracted from the output of a phonetic classifier. The goal of this research was to develop a robust confidence measure based strictly on acoustic information. This research focused on methods for augmenting standard log likelihood ratio techniques with additional information to improve the robustness of the acoustic confidence scores for word recognition tasks. The most successful approach utilized a Fisher linear discriminant projection to reduce a set of acoustic features, extracted from phone level classification results, to a single dimension confidence score. The experiments in this paper were implemented within the JUPITER weather information system. The paper presents results indicating that the technique achieved significant improvements over standard log likelihood ratio techniques for confidence scoring.
Starting Page	1799
Ending Page	1802
File Size	418183
Page Count	4
File Format	PDF
ISBN	0780362934
ISSN	15206149
DOI	10.1109/ICASSP.2000.862103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-05
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Robustness Acoustic measurements Speech recognition Hidden Markov models Natural languages Data mining Laboratories Computer science Jupiter
Content Type	Text
Resource Type	Article

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