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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, SRW
(Joint)
2021-03-04
11:35
Online Online [Poster Presentation] Performance Evaluations of Multi-AP Wireless LAN Transmissions in a Factory Environment
Kazuma Yamamoto, Takumi Matsumoto, Hiroyuki Yomo (Kansai Univ.), Takuya Asada, Yasufumi Ichikawa (Panasonic Corp.) RCS2020-232 SR2020-71 SRW2020-61
In this paper, we focus on rate adaptation for Multi–AP transmissions, which realizes robust wireless LAN (WLAN) data tr... [more] RCS2020-232 SR2020-71 SRW2020-61
pp.149-154(RCS), pp.42-47(SR), pp.37-42(SRW)
SP, EA, SIP 2020-03-03
14:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Comparison of feature parameters from original speech, LPC-based estimated speech and residual speech for speaker identification
Seiichi Nakagawa, Kohto Hanai, Kazumasa Yamamoto () EA2019-162 SIP2019-164 SP2019-111
 [more] EA2019-162 SIP2019-164 SP2019-111
pp.355-360
RCC, MICT 2019-05-29
15:30
Tokyo TOKYO BIG SIGHT [Poster Presentation] Robust Data Transmissions utilizing Multiple Access Points Reception and Packet-level FEC
Kazuma Yamamoto, Kazuki Ikeda, Hiroyuki Yomo (Kansai Univ.), Yoshihisa Kondo (ATR) RCC2019-8 MICT2019-8
When we employ wireless communications in a factory, its channel state can change dynamically due to factory-specific pro... [more] RCC2019-8 MICT2019-8
pp.35-40
EA, SIP, SP 2019-03-15
10:00
Nagasaki i+Land nagasaki (Nagasaki-shi) Consideration on Effectiveness of Relative Phase from Residual Speech for Speaker Recognition
Seiichi Nakagawa, Kazumasa Yamamoto, Kazumasa Yamamoto (Chubu Univ.) EA2018-130 SIP2018-136 SP2018-92
We have focused on phase spectrum for speaker recognition. So we proposed relative phase as a feature parameter for spea... [more] EA2018-130 SIP2018-136 SP2018-92
pp.185-190
SP 2011-06-23
16:30
Aichi Nagoya Univ. Speech recognition in mixed sound of speech and music by vector quantization and non-negative matrix factorization
Shoichi Nakano, Kazumasa Yamamoto, Seiichi Nakagawa (Toyohashi Univ. of Tech.) SP2011-34
For speech recognition in the presence of noise, it is necessary to reduce the
effect of the noise. The spectral subtr... [more]
SP2011-34
pp.23-28
SP 2010-07-23
09:00
Miyagi Ryokusui-tei (Sendai) Speech Recognition using Phase Information based on Long-Term Analysis
Kazumasa Yamamoto, Eiichi Sueyoshi, Seiichi Nakagawa (Toyohashi Univ. of Tech.) SP2010-40
Current speech recognition systems use mainly amplitude spectrum-based features such as MFFC for acoustic feature parame... [more] SP2010-40
pp.31-36
SP, NLC 2008-12-10
16:10
Tokyo Waseda Univ. Evaluation of speaker identification/verification method using phase information
Longbiao Wang (Shizuoka Univ.), Kazue Minami, Kazumasa Yamamoto, Seiichi Nakagawa (Toyohashi Univ. of Tech.) NLC2008-53 SP2008-108
 [more] NLC2008-53 SP2008-108
pp.173-178
SS 2007-02-02
11:15
Aichi Aichi Prefectural Univ. A Decision Making Method for Selecting Design Alternatives
Kazuma Yamamoto, Motoshi Saeki (Tokyo Tech)
In requirements analysis and design phase, selecting design alternatives involves a lot of decision-making. When selecti... [more] SS2006-83
pp.25-30
 Results 1 - 8 of 8  /   
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