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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2019-06-21
11:20		 Okinawa Miyakojima Hirara Port Terminal Building Discrete Polar Decoder using Information Bottleneck
Akira Yamada, Tomoaki Ohtsuki (Keio Univ.) RCS2019-92		 Polar codes are attracting much attention and being used for control channels of the 5th generation of mobile communicat... [more] RCS2019-92
pp.321-326
PRMU, SP 2018-06-28
15:10		 Nagano   Multimodal voice conversion using deep bottleneck features and deep canonical correlation analysis
Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu (Gifu Univ.), Tomoki Toda (Nagoya Univ.) PRMU2018-24 SP2018-4		 In this paper, we aim at improving the speech quality in voice conversion and propose a novel multi-modal voice conversi... [more] PRMU2018-24 SP2018-4
pp.13-18
SP, SIP, EA 2017-03-01
16:40		 Okinawa Okinawa Industry Support Center [Invited Talk] An Introduction to Example-based Speech Enhancement and Its Improvements
Atsunori Ogawa, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani (NTT) EA2016-114 SIP2016-169 SP2016-109		 This paper introduces example-based speech enhancement, which is a promising single-channel approach to cope with highly... [more] EA2016-114 SIP2016-169 SP2016-109
pp.183-188
SP 2015-10-16
11:15		 Hyogo Kobe Univ. Multi-modal speech recognition using deep bottleneck features
Satoshi Tamura (Gifu Univ), Hiroshi Ninomiya (Nagoya Univ), Norihide Kitaoka (Tokushima Univ), Shin Osuga (Aisin Seiki), Yurie Iribe (Aichi Prefectural Univ), Kazuya Takeda (Nagoya Univ), Satoru Hayamizu (Gifu Univ) SP2015-69		 In this paper, we propose a novel multi-modal speech recognition method which uses speech and lip images, employing Deep... [more] SP2015-69
pp.57-62
WIT, SP, ASJ-H, PRMU 2015-06-18
15:15		 Niigata   Phone Labeling Based on Gaussian Mixture Model for Dysarthric Speech Recognition
Yuki Takashima (Kobe Univ.), Toru Nakashika (UEC), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2015-44 SP2015-13 WIT2015-13		 We investigate in this paper speech recognition for a person with an articulation disorder resulting from athetoid cereb... [more] PRMU2015-44 SP2015-13 WIT2015-13
pp.71-76
DE, DC 2006-10-17
16:30		 Tokyo   Clustering Trajectory Data Based on the Markov-chain Model
Yoshiharu Ishikawa (Nagoya Univ.) 		This paper proposes a new approach to cluster and to summarize trajectories of a large number of moving objects. Former ... [more] DE2006-125 DC2006-32
pp.37-42
 Results 1 - 6 of 6  /   
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