Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EMCJ, MICT (Joint) |
2023-03-17 14:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
An Effect of Data Augmentation using 3D Models in Machine Lipreading on Recognition Accuracy Kazuma Kimura, Kenko Ota (NIT) MICT2022-59 |
In this study, we investigate the use of a three-dimensional model of a speaker's face as a data augmentation method for... [more] |
MICT2022-59 pp.17-21 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 10:55 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Report on the 3rd Lip-Reading Challenge Takeshi Saitoh (Kyutech), Yuto Goto, Hiroyuki Nagano, Akihiro Kato, Masaki Nose (RICOH), Naoki Hiramoto (Mercoin), Tomohiro Hattori, Shiiya Aoyama, Yusuke Katoh, Ryuta Toshima, Takumi Nagawaki, Satoshi Tamura (Gifu University), Daiki Arakane (Kyutech) PRMU2022-76 IBISML2022-83 |
There is a machine lip-reading technology that uses a computer to estimate the utterance content using only visual infor... [more] |
PRMU2022-76 IBISML2022-83 pp.97-101 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 11:05 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study of Word Lip-Reading using Meta Learning Michinari Kodama, Takeshi Saitoh (kyutech) PRMU2022-77 IBISML2022-84 |
Lip-reading technology, which estimates utterance content using only visual information, is a kind of supervised learnin... [more] |
PRMU2022-77 IBISML2022-84 pp.102-106 |
PRMU, IPSJ-CVIM |
2022-05-13 10:45 |
Aichi |
Toyota Technological Institute |
Efficient DNN model for word lip-reading Daiki Arakane, Takeshi Saitoh (Kyutech) PRMU2022-4 |
This paper studies various deep learning models for lip-reading technology, including one of supervised learning of the ... [more] |
PRMU2022-4 pp.18-23 |
VLD, HWS [detail] |
2022-03-07 14:05 |
Online |
Online |
Measurement Results of Nonvolatile Flip-Flops Using FiCC for IoT Processors with Intermittent Operations Yuki Abe, Kazutoshi Kobayashi (KIT), Hiroyuki Ochi (Ritsumeikan Univ.) VLD2021-85 HWS2021-62 |
In recent years, with the spread of the Internet of Things (IoT) and mobile devices, low power consumption of processors... [more] |
VLD2021-85 HWS2021-62 pp.45-50 |
MICT, EMCJ (Joint) |
2022-03-04 09:45 |
Online |
Online |
A Study on Silent Word Recognition Based on Deep Learning Using Facial 3D Model Ryuji Wada, Kenko Ota (NIT) MICT2021-103 |
The aim of this study is to propose a method to realize silent word recognition removing the constraint on face orientat... [more] |
MICT2021-103 pp.13-18 |
MICT, EMCJ (Joint) |
2022-03-04 10:05 |
Online |
Online |
A study on silent word recognition using various sensors Masaya Kusamoto, Kenko Ota (NIT) MICT2021-104 |
The aim of this study is to clarify the effectiveness of silent word recognition using multiple sensors. When a visible ... [more] |
MICT2021-104 pp.19-24 |
WIT, HI-SIGACI |
2021-12-08 15:20 |
Online |
Online |
Report of Japanese lip reading ability test Takeshi Saitoh (Kyutech), Hajime Tachiiri (Ehime Univ.) WIT2021-34 |
In this paper, to measure Japanese lip-reading ability, we created four Japanese lip-reading ability tests of single sou... [more] |
WIT2021-34 pp.13-17 |
HWS, VLD [detail] |
2020-03-04 13:00 |
Okinawa |
Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
MTJ-based Nonvolatile Flip-Flop Circuit Using Dual Power Supplies for Low-voltage Operation Sosuke Akiba, Kimiyoshi Usami (SIT) VLD2019-99 HWS2019-72 |
One of the leakage reduction techniques is nonvolatile power gating(NVPG) by using magnetic tunnel junction(MTJ). In the... [more] |
VLD2019-99 HWS2019-72 pp.31-36 |
SP |
2019-01-27 11:30 |
Ishikawa |
Kanazawa-Harmonie |
Multimodal Data Augmentation for Visual Speech Recognition using Deep Canonical Correlation Analysis Masaki Shimonishi, Satoshi Tamura, Satoru Hayamizu (Gifu University) SP2018-60 |
This paper proposes ta new data augmentation strategy for deep learning, in which feature vectors in one modality can be... [more] |
SP2018-60 pp.41-45 |
WIT, SP |
2018-10-28 09:50 |
Fukuoka |
Kyushu Institute of Technology(Kitakyushu) |
Experimental report on elderly speech disorder person for new substitute speech using lip reading Takeshi Saitoh, Michiko Kubokawa (kyutech), Misato Hirai, Yasuyuki Noyama (Okayama saiseikai General Hospital) SP2018-42 WIT2018-30 |
Writing and sign language are known as substitute methods of verbal communication. The laryngectomized person uses three... [more] |
SP2018-42 WIT2018-30 pp.51-55 |
PRMU, BioX |
2018-03-19 10:50 |
Tokyo |
|
SSSD: Japanese Speech Scene Database by Smart Device for Visual Speech Recognition Takeshi Saitoh, Michiko Kubokawa (Kyushu Inst. of Tech.) BioX2017-63 PRMU2017-199 |
Speech scenes of conventional database available for lip reading or visual speech recognition (VSR), were record with a ... [more] |
BioX2017-63 PRMU2017-199 pp.163-168 |
SIP, IT, RCS |
2018-01-22 14:20 |
Kagawa |
Sunport Hall Takamatsu |
A CDMA System with Binary Z-connectable Complete Complementary Codes Hikaru Mizuyoshi, Terumasa Sato, Chenggao HAN (UEC) IT2017-70 SIP2017-78 RCS2017-284 |
Conventional convolutional spreading code division multiple access (CS-CDMA) provides inter-channel interference-free (I... [more] |
IT2017-70 SIP2017-78 RCS2017-284 pp.91-96 |
WIT, SP |
2017-10-20 09:30 |
Fukuoka |
Tobata Library of Kyutech (Kitakyushu) |
[Invited Talk]
Research Trends in Silent Speech Recognition
-- Focusing on Lip Reading -- Takeshi Saitoh (Kyutech) SP2017-48 WIT2017-44 |
Silent speech recognition is a technique for understanding speech content without using audio information. There are var... [more] |
SP2017-48 WIT2017-44 pp.77-81 |
SIS |
2017-06-01 15:20 |
Oita |
Housen-Sou (Beppu) |
A method of lip recognition using a convolutional neural network Kazuya Okano (Kyutech), Hideaki orii (Fukuoka Univ), Hideaki kawano (Kyutech) SIS2017-10 |
In recent years, lip reading has been used in various fields such as communication with deaf person, understanding the c... [more] |
SIS2017-10 pp.51-54 |
PRMU, IPSJ-CVIM, MVE [detail] |
2017-01-19 15:55 |
Kyoto |
|
ngle independent lip reading using symmetrical 3D-AAM of facial images Takuya Watanabe (TUT), Kouichi Katsurada (TUS), Yasushi Kanazawa (TUT) PRMU2016-134 MVE2016-25 |
Lip reading is a technique to recognize spoken words from only visual images of a face. There have been proposed variou... [more] |
PRMU2016-134 MVE2016-25 pp.135-140 |
WIT |
2016-03-05 09:30 |
Ibaraki |
Tusukuba Univ. of Tech.(Tsukuba) |
Hearing Aid with Lip Reading
-- Speech Enhancement using Vowel Estimation -- Yuzuru Iinuma, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) WIT2015-98 |
Under highly noisy environments such as construction sites and cocktail parties, it is difficult for not only humans but... [more] |
WIT2015-98 pp.53-58 |
SP |
2015-10-16 11:15 |
Hyogo |
Kobe Univ. |
Multi-modal speech recognition using deep bottleneck features Satoshi Tamura (Gifu Univ), Hiroshi Ninomiya (Nagoya Univ), Norihide Kitaoka (Tokushima Univ), Shin Osuga (Aisin Seiki), Yurie Iribe (Aichi Prefectural Univ), Kazuya Takeda (Nagoya Univ), Satoru Hayamizu (Gifu Univ) SP2015-69 |
In this paper, we propose a novel multi-modal speech recognition method which uses speech and lip images, employing Deep... [more] |
SP2015-69 pp.57-62 |
LOIS |
2015-03-06 16:30 |
Okinawa |
|
A Study of Multi-Modal Speech Visualization for Deaf and Hard of Hearing People Support Yusuke Toba, Hiroyasu Horiuchi, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Tomohito Uchino, Tomohiro Yokoyama, Yasuhiro Takebayashi (School for the Deaf, University of Tsukuba) LOIS2014-94 |
Although deaf and hard of hearing (D/HH) people have various communication ways such as sign language, conversation by w... [more] |
LOIS2014-94 pp.191-196 |
SRW |
2014-10-27 14:25 |
Chiba |
Chiba University |
Performance Improvement for VLC-OFDM using FSS and PPS Yosuke Fujii, Chang-Jun Ahn, Tatsuya Omori, Ken-ya Hashimoto (Chiba Univ.) SRW2014-31 |
Visible light communication has been attracted attention because of its ubiquitous and safety. However, faults of LED co... [more] |
SRW2014-31 pp.37-41 |