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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, WIT, IPSJ-SLP, ASJ-H [detail] 2021-10-19
15:10
Online Online A study on model training for DNN-HSMM-based speech synthesis using a large-scale speech corpus
Nobuyuki Nishizawa, Gen Hattori (KDDI Research) SP2021-34 WIT2021-27
In this study, an investigation into model training for DNN-HSMM-based speech synthesis using a large speech corpus coll... [more] SP2021-34 WIT2021-27
pp.52-57
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
A Study for HMM-based embedded speech synthesis using a large-scale speech corpus
Nobuyuki Nishizawa, Tomohiro Obara, Hiromi Ishizaki (KDDI Research, Inc.) EA2019-141 SIP2019-143 SP2019-90
This study shows that our speech synthesis system based on HMM speech synthesis for embedded devices can perform real-ti... [more] EA2019-141 SIP2019-143 SP2019-90
pp.231-236
WPT, EE
(Joint)
2018-10-04
16:40
Kyoto Kyoto Univ. Uji Campus [Invited Lecture] Design and Implementation of Wireless Powered Plarail Using 1MHz Magnetic Resonant Coupling Wireless Power Transfer
Kazunobu Sumiya, Yuki Nishizawa, Takuya Sasatani, Ryo Takahashi, Yoshiaki Narusue, Yoshihiro Kawahara (U-Tokyo) WPT2018-50
We report a wirelessly powered plastic train system using 1MHz magnetic resonance coupling, which participated in the co... [more] WPT2018-50
pp.111-114
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Do prosodic manual annotations matter for Japanese speech synthesis systems with WaveNet vocoder?
Hieu-Thi Luong, Xin Wang, Junichi Yamagishi (NII), Nobuyuki Nishizawa (KDDI Research) EA2017-140 SIP2017-149 SP2017-123
We investigated the impact of noisy linguistics features on the performance of a Japanese neural net- work based speech ... [more] EA2017-140 SIP2017-149 SP2017-123
pp.215-220
LQE, OPE, EMD, R, CPM 2016-08-25
09:45
Hokkaido   Packaging of 16ch (4chx4) Integrated Light Sources with Laser Diode Arrays on Silicon Substrate.
Motoyuki Nishizawa, Nobuaki Hatori, Yu Tanaka, Mitsuru Kurihara, Kazuhiko Kurata (PETRA) R2016-20 EMD2016-24 CPM2016-33 OPE2016-54 LQE2016-29
We are developing packaging technology of hybrid integrated light sources on Silicon platform for realization high capac... [more] R2016-20 EMD2016-24 CPM2016-33 OPE2016-54 LQE2016-29
pp.5-8
SP, IPSJ-MUS 2014-05-25
11:30
Tokyo   Speech waveform generation on subband domain
Nobuyuki Nishizawa, Tsuneo Kato (KDDI R&D Labs) SP2014-35
To reduce the computational cost for waveform generation in speech synthesis based on analysis-synthesis systems like HM... [more] SP2014-35
pp.349-354
MRIS, ITE-MMS 2013-11-15
16:10
Tokyo Waseda Univ. Study Of Side Shielded Reader For Ultra-High TPI Magnetic Recording
Takumi Uesugi, Takahiko Machita, Satoshi Miura, Naomichi Degawa, Takekazu Yamane, Minoru Ohta, Kenzo Makino, Shohei Kawasaki, Hitoshi Hatate, Takayuki Nishizawa, Takayasu Kanaya, Takeo Kagami, Taro Oike (TDK) MR2013-23
 [more] MR2013-23
pp.29-34
SP, EA, SIP 2013-05-17
09:45
Okayama   Fast speech waveform generation using subband coding for speech synthesis
Nobuyuki Nishizawa, Tsuneo Kato (KDDI Labs) EA2013-15 SIP2013-15 SP2013-15
For fast waveform generation in HMM-based speech synthesizers, a new method using a subband coding method that is also u... [more] EA2013-15 SIP2013-15 SP2013-15
pp.85-90
IT, ISEC, WBS 2013-03-07
15:05
Osaka Kwansei Gakuin Univ., Osaka-Umeda Campus A Study on Sparse Channel Estimation in Single Carrier Communications
Yuki Nishizawa, Teruyuki Miyajima (Ibaraki Univ.) IT2012-85 ISEC2012-103 WBS2012-71
It has been reported that when channel estimation performance is unsatisfactory when conventional estimation methods are... [more] IT2012-85 ISEC2012-103 WBS2012-71
pp.149-154
QIT
(2nd)
2011-11-22
15:40
Osaka Osaka Univ. Engr. Sci. Sigma Hall (Toyonaka) Iterative optimization for max-min quantum error correction
Naoki Yamamoto, Yuki Nishizawa (Keio Univ.)
This paper considers the max-min quantum error correction problem;
both the encoding and decoding channels are to be d... [more]

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