Presentation 2013-01-17
Proposal and Evaluation of Telephone Conversation Log Retrieval Based on the Line Detection in Distance Matrix Images
Hiroyuki NISHI, Yuuki YOKOBAYASHI, Yoshimasa KIMURA, Toshio KAKINOKI,
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Abstract(in English) Telephone conversation retrieval systems are required for mail order, help desk and various telecommunications services. However, it is difficult to construct the language model and to overcome ambiguous pronunciation. This report proposes a new method in order to realize telephone conversation log retrieval. The method is structured by distance matrix images(DMI) and the line detection in the images. Important parameters are threshold values for binalizing of DMI. The merit of this method is not to need a dictionary and the detailed language model. This report shows the reason of the advantages against the conventional continuous DP matching proving by experimental method using the difference of the standard deviation of the the number of votes in Hough Transform.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Speech Recognition / Telephone Conversation Log / Retrieval / Word Spotting / Dough Transform / Life Log
Paper # ICM2012-40,LOIS2012-50
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Committee LOIS
Conference Date 2013/1/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal and Evaluation of Telephone Conversation Log Retrieval Based on the Line Detection in Distance Matrix Images
Sub Title (in English)
Keyword(1) Speech Recognition
Keyword(2) Telephone Conversation Log
Keyword(3) Retrieval
Keyword(4) Word Spotting
Keyword(5) Dough Transform
Keyword(6) Life Log
1st Author's Name Hiroyuki NISHI
1st Author's Affiliation Faculty of Information Sciences, Sojo University()
2nd Author's Name Yuuki YOKOBAYASHI
2nd Author's Affiliation Faculty of Information Sciences, Sojo University
3rd Author's Name Yoshimasa KIMURA
3rd Author's Affiliation Faculty of Information Sciences, Sojo University
4th Author's Name Toshio KAKINOKI
4th Author's Affiliation Faculty of Information Sciences, Sojo University
Date 2013-01-17
Paper # ICM2012-40,LOIS2012-50
Volume (vol) vol.112
Number (no) 379
Page pp.pp.-
#Pages 4
Date of Issue