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PRONUNCIATION MODELING USING A FINITE-STATE TRANSDUCER REPRESENTATION Timothy J. Hazen, I. Lee Hetherington, Han Shu, and Karen Livescu Spoken Language Systems Group MIT Laboratory for Computer Science Cambridge, MA, USA
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Document Date: 2006-03-29 14:00:17


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City

Denver / Philadelphia / Madrid / Salt Lake City / Phoenix / Cambridge / Beijing / Aalborg / Sydney / /

Company

Karen Livescu Spoken Language Systems Group MIT Laboratory / MIT Press / /

Country

Australia / China / Spain / Denmark / /

Event

Reorganization / /

IndustryTerm

speech recognition systems / less search space complexity / search path / segmentation algorithm / parsimonious network / segment network / search network / speech recognition technology / telephone-based conversational interface / finite-state networks / modest improvements to both systems / search space / toll-free telephone line / /

MarketIndex

set 20 / /

Organization

Royal Statistical Society / MIT / Control and Ocean Surveillance Center / Naval Command / Association for Computational Linguistics / /

Person

Jon Yi / I. Lee Hetherington / Timothy J. Hazen / Jim Glass / /

Position

speaker / /

ProvinceOrState

Utah / Pennsylvania / Delaware / Colorado / /

PublishedMedium

Computational Linguistics / Journal of the Royal Statistical Society / /

Technology

speech recognition / speech recognition technology / segmentation algorithm / training algorithm / EM training algorithm / speech recognition system / EM algorithm / modified EM algorithm / /

URL

http /

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