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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, NLC 2008-12-09
10:50		 Tokyo Waseda Univ. Noisy speech recognition using integrated method of statistical model-based voice activity detection and noise suppression
Masakiyo Fujimoto, Kentaro Ishizuka, Tomohiro Nakatani (NTT Corporation) NLC2008-26 SP2008-81		 This paper addresses robust front-end processing for automatic speech recognition in noise. The proposed method integrat... [more] NLC2008-26 SP2008-81
pp.13-18
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
PRMU, MVE 2008-11-27
11:40		 Osaka Osaka Univ. A realtime Multimodal System toward Multiparty Conversation Scene Analysis -- Integrating Face Pose Tracking and Speaker Diarization using Multimodal Omnidirectional Sensors --
Kazuhiro Otsuka, Shoko Araki, Kentaro Ishizuka, Masakiyo Fujimoto, Junji Yamato (NTT) PRMU2008-119 MVE2008-68		  [more] PRMU2008-119 MVE2008-68
pp.55-62
EA 2008-07-18
14:45		 Nara   Speaker diarization for meetings by integrating speech presence probability estimation and time-frequency domain direction of arrival estimation
Shoko Araki, Masakiyo Fujimoto, Kentaro Ishizuka, Tomohiro Nakatani, Hiroshi Sawada, Shoji Makino (NTT) EA2008-40		 This paper presents a meeting diarization system that estimates who spoke when in a meeting. Our proposed system is real... [more] EA2008-40
pp.19-24
SP 2008-07-17
- 2008-07-19		 Iwate Iwate Prefectural Univ. An evaluation and an examination of integration method of statistical model-based voice activity detection and noise suppression
Masakiyo Fujimoto, Kentaro Ishizuka, Tomohiro Nakatani (NTT CS Labs.) SP2008-45		 This paper addresses robust front-end processing for automatic speech recognition (ASR) in noisy environments.
Usually... [more]		 SP2008-45
pp.13-18
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