NDLI: Keyword-conditioned phone N-gram modeling with contextual information for speaker verification

Content Provider	IEEE Xplore Digital Library
Author	Han, K.J. Pelecanos, J. Omar, M.K.
Copyright Year	2012
Description	Author affiliation: IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, USA (Han, K.J.; Pelecanos, J.; Omar, M.K.)
Abstract	In this paper we present our current work on automatic speaker recognition using keyword-conditioned phone N-gram modeling. We propose the use of contextual information around keywords in modeling a speaker's pronunciation characteristics at a phonetic level. Our approach is to add time margins around keywords when aligning keyword regions with keyword-specific phone events for feature vector generation. Including such additional information by incorporating time margins can capture idiosyncratic pronunciation information and is shown to help our keyword-conditioned phonetic speaker verification system achieve more than 50% (relative) performance improvement. This leads our high-level speaker verification system (i.e., fusion of non-conditioned and keyword-conditioned phonetic speaker verification systems) to currently achieve the best published result for the English 8-conversation enrollment telephony task of the 2008 NIST Speaker Recognition Evaluation for systems utilizing features not based directly on low-level acoustic information.
Starting Page	4797
Ending Page	4800
File Size	150178
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speaker recognition Acoustics Vectors NIST Support vector machines Context modeling Feature extraction time margin Speaker verification keyword-conditioned phone N-gram modeling contextual information
Content Type	Text

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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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