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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 37  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMCJ, MICT
(Joint)
2023-03-17
15:15
Tokyo Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online)
Statistical Modeling of Automotive Component Noise-Source Including Load Change
Noboru Maeda (SOKEN), Keishi Miwa (TMC) EMCJ2022-93
Electromagnetic noise is often a phenomenon with large fluctuation, so, it is effective to understand the noise source c... [more] EMCJ2022-93
pp.7-12
MI 2023-03-06
14:07
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes
Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] MI2022-84
pp.57-62
R 2021-10-22
13:50
Online Online Modeling and prediction of injury occurrences of sumo wrestlers by using Hawkes process
Shuhei Ota (Kanagawa Univ.), Mitsuhiro Kimura (Hosei Univ.) R2021-30
In sumo wrestling, which is a Japanese traditional sport, lots of sumo wrestlers suffer from injuries through actual bou... [more] R2021-30
pp.1-6
MI 2021-03-16
09:30
Online Online Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model
Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) MI2020-65
The purpose of this study is to build a statistical intensity model of pulmonary vasculatures in CT volumes. In this stu... [more] MI2020-65
pp.80-81
MI 2021-03-16
14:00
Online Online Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] MI2020-74
pp.112-117
KBSE 2021-03-06
14:25
Online Online KBSE2020-46 In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, ... [more] KBSE2020-46
pp.71-76
SP 2020-01-29
11:30
Toyama   Application of Deep Gaussian Process to Multi-Speaker Text-to-Speech Synthesis using Speaker Codes
Kentaro Mitsui, Tomoki Koriyama, Hiroshi Saruwatari (UTokyo) SP2019-49
Speaker codes are widely used to achieve multi-speaker text-to-speech synthesis.
Conventionally, Deep Neural Network (D... [more]
SP2019-49
pp.31-36
IE, CS, IPSJ-AVM, ITE-BCT [detail] 2019-12-05
11:40
Iwate Aiina Center [Special Talk] Representation of moving-image's sparsity and its applications to adaptive moving-image restoration
Takahiro Saito (Kanagawa Univ.) CS2019-75 IE2019-55
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3... [more] CS2019-75 IE2019-55
pp.29-34
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
10:35
Tokyo NHK Science & Technology Research Labs. [Invited Talk] Progress and prospects of statistical speech synthesis
Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-35
The basic problem of statistical speech synthesis is quite simple: we have a speech database for training, i.e., a set o... [more] SP2019-35
pp.11-12
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
13:55
Tokyo NHK Science & Technology Research Labs. [Poster Presentation] Effectiveness of sequence-to-sequence acoustic modeling by using automatic generated labels
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano (NHK) SP2019-37
We have proposed a method that uses yomigana (Japanese character readings) and prosodic symbols as input for sequence-to... [more] SP2019-37
pp.49-54
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Robustness of statistical voice conversion based on waveform modification against external noise
Yusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda (Nagoya Univ.), Tomoki Toda (Nagoya Univ./JST PRESTO) EA2018-153 SIP2018-159 SP2018-115
In this report, we investigate the statistical voice conversion (VC) under noisy environments.
VC achieves conversion f... [more]
EA2018-153 SIP2018-159 SP2018-115
pp.317-322
SS 2019-03-04
10:15
Okinawa   Statistical model checking of hybrid systems with Acumen
Kosuke Inoue, Daisuke Ishii (Fukui Univ.) SS2018-54
An integrated tool for modeling, simulation and verification is useful for developing reliable continuous/discrete hybri... [more] SS2018-54
pp.13-18
PRMU, SP 2018-06-29
11:00
Nagano   Speaker adaptation in speech synthesis based on neural networks including temporal structure modeling
Kento Nakao, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2018-31 SP2018-11
This paper proposes a speaker adaptation technique for speech synthesis based on deep neural networks (DNNs) using a str... [more] PRMU2018-31 SP2018-11
pp.53-58
PRMU, MI, IE, SIP 2018-05-17
17:00
Gifu   [Invited Talk] Statistical Modeling of 3-D DFT Coefficients of Moving Images and Its Applications to Video Restoration
Takahiro Saito, Takashi Komatsu (Kanagawa Univ.) SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6
Recently we have presented moving-image denoising with 3-D Mean-Separation-type Short-Time DFT and demonstrated that it ... [more] SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6
pp.23-28
IBISML 2018-03-06
13:35
Fukuoka Nishijin Plaza, Kyushu University Applicability of Fast Decimation Algorithm -- Sparse two-parameter Boltzmann machine as a benchmark function --
Daisuke Motoki, Shohei Watabe, Tetsuro Nikuni (Tokyo Univ. of Science) IBISML2017-103
A decimation algorithm was developed by Decelle et al. for an inverse problem optimization method, which sequentially re... [more] IBISML2017-103
pp.91-95
SP, ASJ-H 2018-01-21
16:00
Tokyo The University of Tokyo A study on voice conversion based on WaveNet
Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (NIT) SP2017-84
This paper proposes a voice conversion technique based on WaveNet to directly generate target audio waveforms from acous... [more] SP2017-84
pp.99-104
EA, US
(Joint)
2017-01-25
10:30
Kyoto Doshisha Univ. Analysisof backscattered echo signal from skin ulcers
Masaaki Omura, Kenji Yoshida, Shinsuke Akita, Tadashi Yamaguchi (Chiba Univ.) US2016-86
The noninvasive and quantitative diagnosis method of skin ulcer is strongly required in medical filed. One of the key to... [more] US2016-86
pp.73-78
SP, IPSJ-SLP, NLC, IPSJ-NL
(Joint) [detail]
2016-12-21
10:45
Tokyo NTT Musashino R&D [Invited Talk] Towards Fusion of Speech and Natural Language Processing Research -- Past and Future of Speech Translation Research --
Satoshi Nakamura (NAIST) SP2016-64
(To be available after the conference date) [more] SP2016-64
pp.121-122
SP, IPSJ-SLP
(Joint)
2015-07-17
09:30
Nagano Katakura Suwako Hotel Multiple Feed-forward Deep Neural Networks for Statistical Parametric Speech Synthesis
Shinji Takaki (NII), SangJin Kim (Naver Labs), Junichi Yamagishi (NII), JongJin Kim (Naver Labs) SP2015-44
In this paper, we investigate a combination of several feed-forward deep neural networks (DNNs) for a high-quality stati... [more] SP2015-44
pp.49-54
MBE, NC
(Joint)
2014-11-22
14:05
Miyagi Tohoku University Computer simulation for emergence of social inequality in probabilistic labor markets
He Chen, Jun-ichi Inoue (Hokkaido Univ.) NC2014-40
We discuss social inequalities in labor markets for university
graduates in Japan by using the Gini and $k$-indices. F... [more]
NC2014-40
pp.79-84
 Results 1 - 20 of 37  /  [Next]  
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