Presentation | 2007/12/13 Optimization of Question and Answer Database for Speech-oriented Guidance System : Response Generation Based on Question and Answer Database Using Automatic Speech Recognition Results and Its Optimization Shota TAKEUCHI, Tobias CINCAREK, Hiromichi KAWANAMI, Hiroshi SARUWATARI, Kiyohiro SHIKANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A speech-oriented dialog system employed in real-environment requires dialog control techniques which enable flexible processing of various utterance expressions. As a robust response generation method for various utterance expressions, an example-based response generation method has been studied. This method employs a question and answer database (QADB) to generate the most appropriate response by selecting an example question which is nearest to an input. Conventionally, a QADB is constructed from transcriptions of utterance data. In this paper, we propose response generation based on a question and answer database using automated speech recognition results (ASR-QADB),which enables to perform robust selection of examples against recognition errors. Evaluating the performance of system responses by response accuracy, the same response accuracy as with the conventional method is achieved by constructing and optimizing ASR-QADB using 6-best recognition results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech-oriented dialog system / example-based response generation / QADB optimization / leave-one-out cross-validation / QADB using automated speech recognition results |
Paper # | NLC2007-83,SP2007-146 |
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Committee | NLC |
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Conference Date | 2007/12/13(1days) |
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Paper Information | |
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) | Optimization of Question and Answer Database for Speech-oriented Guidance System : Response Generation Based on Question and Answer Database Using Automatic Speech Recognition Results and Its Optimization |
Sub Title (in English) | |
Keyword(1) | speech-oriented dialog system |
Keyword(2) | example-based response generation |
Keyword(3) | QADB optimization |
Keyword(4) | leave-one-out cross-validation |
Keyword(5) | QADB using automated speech recognition results |
1st Author's Name | Shota TAKEUCHI |
1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
2nd Author's Name | Tobias CINCAREK |
2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
3rd Author's Name | Hiromichi KAWANAMI |
3rd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
4th Author's Name | Hiroshi SARUWATARI |
4th Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
5th Author's Name | Kiyohiro SHIKANO |
5th Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2007/12/13 |
Paper # | NLC2007-83,SP2007-146 |
Volume (vol) | vol.107 |
Number (no) | 405 |
Page | pp.pp.- |
#Pages | 6 |
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