Presentation 2003/12/12
Real-Time Confidence Scoring Based on Word Posterior Probability on two-pass search algorithm
Akinobu LEE, Tatsuya KAWAHARA, Kiyohiro SHIKANO,
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Abstract(in English) Confidence scoring based on word posterior probability is usually performed as a post process of speech recognition decoding, and also needs a large number of word hypotheses to get enough confidence quality. We propose a simple way of computing the word confidence using estimated posterior probability while decoding. At the word expansion of stack decoding search, the local sentence likelihoods that contains heuristic scores of unreached segment are directly used to compute the posterior probabilities. 'Experimental result showed that, although the likelihoods are not optimal, it can provide slightly better confidence measures compared with N-best lists, while the computation is much faster because no N-best decoding is required.
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Keyword(in English) Confidence measure / search algorithm / word posterior probability / spoken language processing / recognition engine Julius
Paper # NLC2003-97
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Committee NLC
Conference Date 2003/12/12(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Real-Time Confidence Scoring Based on Word Posterior Probability on two-pass search algorithm
Sub Title (in English)
Keyword(1) Confidence measure
Keyword(2) search algorithm
Keyword(3) word posterior probability
Keyword(4) spoken language processing
Keyword(5) recognition engine Julius
1st Author's Name Akinobu LEE
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Tatsuya KAWAHARA
2nd Author's Affiliation School of Informatics, Kyoto University
3rd Author's Name Kiyohiro SHIKANO
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2003/12/12
Paper # NLC2003-97
Volume (vol) vol.103
Number (no) 518
Page pp.pp.-
#Pages 6
Date of Issue