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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP
(Joint)		 2017-07-28
11:15		 Miyagi Akiu Resort Hotel Crescent Speaker Diarization for Face-to-Face Dialog of Service Counters Based on Appearance Pattern of Speakers
Mizuki Watabe (NTT DOCOMO), Atsushi Ando, Hosana Kamiyama, Satoshi Kobashikawa, Yushi Aono (NTT), Takanobu Oba, Yoshinori Isoda (NTT DOCOMO) SP2017-19		 This paper proposes a speaker diarization method for face-to-face dialogue of service counters using appearance pattern ... [more] SP2017-19
pp.21-26
SP, IPSJ-SLP
(Joint)		 2014-07-26
10:30		 Iwate Hotel Hanamaki Dialogue group detection and speaker diarization for multi-party conversational speech recorded by multiple smartphones
Koji Iwano, Toko Iizuka, Kanoko Saito, Shuhei Yoneyama (Tokyo City Univ.) SP2014-71		 This paper describes acoustic information processing techniques for multi-party conversational speech recorded by attend... [more] SP2014-71
pp.47-52
SP, NLC, IPSJ-SLP [detail] 2011-12-19
15:45		 Tokyo   Speaker identification using closed caption for scene retrieval in television broadcasting
Keita Yamamuro, Katunobu Itou (Hosei Univ.) NLC2011-41 SP2011-86		 There has recently been much research on annotation systems for television broadcasting because of interest in retrievin... [more] NLC2011-41 SP2011-86
pp.61-66
EA, SIP, SP 2011-05-12
15:00		 Osaka Ritsumeikan Univ. [Invited Talk] Microphone array speech processing techniques for conversation scene analysis
Shoko Araki, Masakiyo Fujimoto, Takuya Yoshioka, Takaaki Hori, Tomohiro Nakatani (NTT) EA2011-15 SIP2011-15 SP2011-15		 Recognition and understanding of conversation scenes has recently been tackled to achieve a variety of tasks such as aut... [more] EA2011-15 SIP2011-15 SP2011-15
pp.83-88
SP, NLC 2008-12-09
11:40		 Tokyo Waseda Univ. Speaker diarization of multi-party conversations based on audio and visual information integration
Kentaro Ishizuka, Shoko Araki, Kazuhiro Otsuka, Masakiyo Fujimoto, Tomohiro Nakatani (NTT) NLC2008-28 SP2008-83		 This paper proposes a speaker diarization method, which detects “who spoke when” in multi-party conversations, based on ... [more] NLC2008-28 SP2008-83
pp.25-30
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