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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
10:55		 Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)		 Report on the 3rd Lip-Reading Challenge
Takeshi Saitoh (Kyutech), Yuto Goto, Hiroyuki Nagano, Akihiro Kato, Masaki Nose (RICOH), Naoki Hiramoto (Mercoin), Tomohiro Hattori, Shiiya Aoyama, Yusuke Katoh, Ryuta Toshima, Takumi Nagawaki, Satoshi Tamura (Gifu University), Daiki Arakane (Kyutech) PRMU2022-76 IBISML2022-83		 There is a machine lip-reading technology that uses a computer to estimate the utterance content using only visual infor... [more] PRMU2022-76 IBISML2022-83
pp.97-101
PRMU, IPSJ-CVIM 2022-05-13
10:45		 Aichi Toyota Technological Institute Efficient DNN model for word lip-reading
Daiki Arakane, Takeshi Saitoh (Kyutech) PRMU2022-4		 This paper studies various deep learning models for lip-reading technology, including one of supervised learning of the ... [more] PRMU2022-4
pp.18-23
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