NDLI: Improved vocabulary independent search with approximate match based on Conditional Random Fields

Content Provider	IEEE Xplore Digital Library
Author	Chaudhari, U.V. Picheny, M.
Copyright Year	2009
Description	Author affiliation: IBM T.J. Watson Research Center, 1101 Kitchawan Road, Rt. 134, Yorktown Heights, NY 10598, USA (Chaudhari, U.V.; Picheny, M.)
Abstract	We investigate the use of Conditional Random Fields (CRF) to model confusions and account for errors in the phonetic decoding derived from Automatic Speech Recognition output. The goal is to improve the accuracy of approximate phonetic match, given query terms and an indexed database of documents, in a vocabulary independent audio search system. Audio data is ingested, segmented, decoded to produce a sequence of phones, and subsequently indexed using phone N-grams. Search is performed by expanding queries into phone sequences and matching against the index. The approximate match score is derived from a CRF, trained on parallel transcripts, which provides a general framework for modeling the errors that a recognition system may make taking contextual effects into consideration. Our approach differs from other work in the field in that we focus on using CRFs to model context dependent phone level confusions, rather than on explicitly modeling parameters of an edit distance. While, the results we obtain on both in and out of vocabulary (OOV) search tasks improve on previous work which incorporated high order phone confusions, the gains for OOV are more impressive.
Starting Page	416
Ending Page	420
File Size	203389
Page Count	5
File Format	PDF
ISBN	9781424454785
DOI	10.1109/ASRU.2009.5373323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-13
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Decoding Automatic speech recognition Context modeling Lattices Streaming media Event detection Audio databases Data mining Indexing
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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