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 |