Presentation | 2005/12/14 Information Retrieval based on Minimum Bayes-Risk Decoding considering Word Significance Hiroaki NANJO, Teruhisa MISU, Tatsuya KAWAHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The paper addresses a new evaluation measure of automatic speech recognition (ASR) and a decoding strategy oriented for speech-based information retrieval (IR). Although word error rate (WER), which treats all words in a uniform manner, has been widely used as an evaluation measure of ASR, significance of words are different in speech understanding or IR. In this paper, we define a new ASR evaluation measure, namely, weighted word error rate (WWER) that gives a weight on errors from a viewpoint of IR. Then, we formulate a decoding method to minimize WWER based on Minimum Bayes-Risk (MBR) framework, and show that the decoding method improves WWER and IR accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / Minimum Bayes-Risk decoding / information retrieval / document retrieval |
Paper # | NLC2005-66,SP2005-99 |
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Committee | NLC |
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Conference Date | 2005/12/14(1days) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Information Retrieval based on Minimum Bayes-Risk Decoding considering Word Significance |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | Minimum Bayes-Risk decoding |
Keyword(3) | information retrieval |
Keyword(4) | document retrieval |
1st Author's Name | Hiroaki NANJO |
1st Author's Affiliation | Faculty of Science and Technology, Ryukoku University() |
2nd Author's Name | Teruhisa MISU |
2nd Author's Affiliation | Graduate School of Informatics, Kyoto University |
3rd Author's Name | Tatsuya KAWAHARA |
3rd Author's Affiliation | Graduate School of Informatics, Kyoto University |
Date | 2005/12/14 |
Paper # | NLC2005-66,SP2005-99 |
Volume (vol) | vol.105 |
Number (no) | 493 |
Page | pp.pp.- |
#Pages | 6 |
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