Information search method and apparatus using Inverse Hidden Markov Model
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United States of America Patent
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May 11, 2004
Grant Date -
May 30, 2002
app pub date -
May 14, 2001
filing date -
Oct 13, 2000
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Abstract
An information search method and apparatus employ an Inverse Hidden Markov Model (IHMM) for stochastically searching for a reference information model among a plurality of predetermined reference information models obtained by training that best matches unknown information which is expressed by a Hidden Markov Model (HMM) chain. The method and apparatus find an optimal path in a HMM state lattice using a minimum unlikelihood score, rather than a maximum likelihood score, and using a Viterbi algorithm, to recognize unknown information, so that unnecessary computations are avoided. The method and apparatus can be used for finding the most likely path through a vocabulary network for a given utterance.
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- 15 United States
- 10 France
- 8 Japan
- 7 China
- 5 Korea
- 2 Other
Patent Owner(s)
- SAMSUNG ELECTRONICS CO., LTD.;RESEARCH & BUSINESS FOUNDATION SUNGKYUNKWAN UNIVERSITY
International Classification(s)
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Chang, Young-hoon | Suwon, KR | 5 | 68 |
Cho, Jun-dong | Gwacheon, KR | 3 | 143 |
Kim, Bo-Sung | Suwon, KR | 105 | 746 |
Park, Sun-hee | Yongin, KR | 26 | 243 |
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