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Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-24
16:20		 Online Online Addition of DPU Training Function by Tail Layer Training
Yuki Takashima, Akira Jinguji, Hiroki Nakahara (Tokyo Tech) VLD2021-59 CPSY2021-28 RECONF2021-67		 The demand for deep learning has been increasing, and many hardware implementations have been proposed. The Deep learnin... [more] VLD2021-59 CPSY2021-28 RECONF2021-67
pp.55-60
SP, EA, SIP 2020-03-02
16:10		 Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)		 Dysarthric Speech Recognition Based on Deep Metric Learning
Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) EA2019-132 SIP2019-134 SP2019-81		  [more] EA2019-132 SIP2019-134 SP2019-81
pp.181-186
WIT, SP 2019-10-26
16:40		 Kagoshima Daiichi Institute of Technology Transfer Learning Using the Speech Data of Persons with Dysarthria Speaking Different Languages for Dysarthric Speech Recognition
Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2019-25 WIT2019-24		  [more] SP2019-25 WIT2019-24
pp.45-50
EA, SIP, SP 2019-03-15
13:30		 Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Data augmentation using multiple databases for end-to-end dysarthric speech recognition
Yuki Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) EA2018-156 SIP2018-162 SP2018-118		 We present in this paper an end-to-end speech recognition system for a Japanese person with an articulation disorder res... [more] EA2018-156 SIP2018-162 SP2018-118
pp.335-340
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
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