Presentation 2010-12-20
Detection of back-channel feedback timings based on consistently tagged spoken dialogue corpus
Tomohiro OHNO, Yuki KAMIYA, Shigeki MATSUBARA,
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Abstract(in English) This paper describes analysis and detection of back-channel feedback timings, aiming at realizing in-car spoken dialogue systems with the high responsiveness. In our research, we analyzed the characteristics of back-channel feedback timings comprehensively by using in-car speech dialogue corpus where back-channel feedback timings were consistently tagged. And then, we tried to statistically detect the timings based on the result of analysis. An experiment using 1,219 dialogue turns, providing a precision of 82.2% and a recall of 66.1%, has shown the effectiveness of our method.
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Keyword(in English) corpus / spoken language / dialogue system / tagging
Paper # NLC2010-15,SP2010-88
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Committee NLC
Conference Date 2010/12/13(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) Detection of back-channel feedback timings based on consistently tagged spoken dialogue corpus
Sub Title (in English)
Keyword(1) corpus
Keyword(2) spoken language
Keyword(3) dialogue system
Keyword(4) tagging
1st Author's Name Tomohiro OHNO
1st Author's Affiliation Graduate School of International Development, Nagoya University()
2nd Author's Name Yuki KAMIYA
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Shigeki MATSUBARA
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2010-12-20
Paper # NLC2010-15,SP2010-88
Volume (vol) vol.110
Number (no) 356
Page pp.pp.-
#Pages 6
Date of Issue