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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
13:30
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) A Study on Speaker Recognition Method in Consideration of Speaking Style Differences in Lecture Speech
Kota Nakatsuji (Doshisha Univ.), Masafumi Nishida (Nagoya Univ.), Seiichi Yamamoto (Doshisha Univ.) SP2014-123
Speaker recognition technology has been applied to achieve a variety of tasks such as minute taking and speaker search f... [more] SP2014-123
pp.141-146
ET 2013-11-22
13:50
Fukushima Aizu University Associative Search of Lecture Movie Segments Using Speech Recognition Technology
Yoshitomo Yaginuma (OUJ) ET2013-63
There are many trials to deliver educational materials and lecture movies. In order to use such contents effectively, re... [more] ET2013-63
pp.31-34
WIT, SP 2011-10-06
11:30
Tokyo TFT Bldg. Language Modeling for Automatic Speech Recognition of Lectures in Elementary and Secondary Education
Hiroaki Nanjo, Ippei Hisaki, Yuki Wada (Ryukoku Univ.) SP2011-54 WIT2011-36
Automatic speech recognition (ASR) of lectures on elementary and
secondary education is addressed. Most of conventiona... [more]
SP2011-54 WIT2011-36
pp.13-18
WIT, SP 2009-10-29
16:00
Aomori ASPAM Classroom Note-taking System based on Automatic Speech Recognition of Lectures
Norihiro Katsumaru, Tatsuya Kawahara, Yuya Akita, Shinsuke Mori (Kyoto Univ.), Atsushi Yamada (ASTEM) SP2009-53 WIT2009-59
We are developing an automatic speech recognition (ASR) system to assist note-taking in the classroom. We have designed... [more] SP2009-53 WIT2009-59
pp.25-30
SP 2007-06-29
13:00
Fukushima The University of Aizu Improvement of unsupervised adaptation in lecture speech recognition
Takashi Kusama, Yohei Okuyama, Masaharu Katoh, Tetsuo Kosaka, Masaki Kohda (Yamagata Univ.) SP2007-20
In recent years, many aggressive approaches for large vocabulary continuous speech recognition (LVCSR) system trained on... [more] SP2007-20
pp.73-78
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