Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
A study of word segmentation method from short sign language sentences using acceleration information Yoshimori Umeda, Kenshin Numakura, Yuusuke Kawakita, Hiromitsu Nishimura, Hiroshi Tanaka (KAIT), Jin Mitsugi (Keio Univ.) |
Studies towards sign language recognition have reported results for a limited vocabulary sing language words. However, t... [more] |
|
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] |
2023-12-03 09:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Enhancing Recognition of Rare Words in ASR through Error Detection and Context-Aware Error Correction Jiajun He, Zekun Yang, Tomoki Toda (Nagoya Univ.) NLC2023-16 SP2023-36 |
Automatic speech recognition (ASR) systems often suffer from errors, particularly when recognizing rare words. These err... [more] |
NLC2023-16 SP2023-36 pp.13-18 |
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 |
TL |
2022-11-26 15:15 |
Yamagata |
Yamagata University |
Process of reanalysis of mispronounced prosody in sentential context Terumichi Ariga (Tokyo Univ.) TL2022-20 |
Although Japanese pitch accent plays a crucial role in access to the mental lexicon in spoken word recognition, listener... [more] |
TL2022-20 pp.11-16 |
NLC |
2022-09-13 13:45 |
Kanagawa |
Keio Univ. Yagami Campus. (Primary: On-site, Secondary: Online) |
A study on keyword extraction based on phrase-level context information acquisition Yumeto Inaoka (Faber Company), Mitsuo Yoshida (Univ. of Tsukuba) NLC2022-5 |
We study a method for extracting words and phrases that belong to the desired class (e.g. magazine name) as keywords fro... [more] |
NLC2022-5 pp.5-8 |
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 |
LOIS |
2021-03-04 13:25 |
Online |
Online |
A Study of Product Identification System Using Optical Character Recognition Shixi Chen, Nobuo Funabiki, Masaki Sakagami (Okayama Univ.), Takashi Toshida, Kohei Suga (Astrolab) LOIS2020-48 |
Recently, the optical character recognition (OCR) technology has been remarkably progressed due to the advancements of d... [more] |
LOIS2020-48 pp.6-11 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 14:40 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
Location estimation algorithm of letter in historical document by using word spotting Rei Nagaya, Masato Suzuki, Daisuke Kitakoshi (NITTC) ITS2019-39 IE2019-77 |
At present, digitalization of historical documents is carried out to preserve the degraded documents. Digitalization wor... [more] |
ITS2019-39 IE2019-77 pp.207-212 |
WIT, HI-SIGACI |
2019-12-05 14:05 |
Tokyo |
AIST Tokyo Waterfront (TBD) |
Tactile communicator using foot interaction for deaf-blindness
-- Basic study on a tactile stimulation time for improving a word intelligibility -- Daisuke Onozawa, Shunichi Yonemura (SIT) WIT2019-42 |
We have proposed a "foot interface" as a communication tool for deafblind people. This tool gives tactile stimulation to... [more] |
WIT2019-42 pp.113-118 |
WIT, SP |
2019-10-27 09:20 |
Kagoshima |
Daiichi Institute of Technology |
Word Recognition using word likelihood vector from speech-imagery EEG Satoka Hirata, Yurie Iribe (Aichi Prefectual Univ.), Kentaro Fukai, Kouichi Katsurada (Tokyo Univ. of Science), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Tech.) SP2019-29 WIT2019-28 |
Previous research suggests that humans manipulate the machine using their electroencephalogram called BCI (Brain Compute... [more] |
SP2019-29 WIT2019-28 pp.69-73 |
HIP |
2019-08-20 15:25 |
Tokyo |
Tokyo Woman's Christian University |
Effects of relative spatial positions of two Kanji characters on lexical decision performance Toshiki Ushiroda, Hiro-Fumi Yanai (Ibaraki Univ.) HIP2019-38 |
When we try to recognize words, we often fail to notice typos. Major factors that underlie such ``noticeability'' would ... [more] |
HIP2019-38 pp.25-29 |
TL |
2019-03-18 14:25 |
Tokyo |
Waseda University |
A Multi-Dimensional Thesaurus with Word Associations Function for More Advanced Japanese Semantic Processing Masahiro Miyazaki (LangueTech/ALR) TL2018-60 |
Aiming at a breakthrough to overcome the limitations of Japanese semantic processing using existing case patterns and th... [more] |
TL2018-60 pp.53-58 |
EA, SIP, SP |
2019-03-15 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Simultaneous Japanese Flexible-Keyword Detection and Speaker Recognition for Low-Resource Devices Hiroshi Fujimura (TOSHIBA) EA2018-157 SIP2018-163 SP2018-119 |
We propose a novel method of simultaneous keyword detection and speaker recognition for low resource devices in this stu... [more] |
EA2018-157 SIP2018-163 SP2018-119 pp.341-346 |
IT, ISEC, WBS |
2019-03-07 10:20 |
Tokyo |
University of Electro-Communications |
Coherence-based Spoken Machine Translation Recognition: Towards an Efficient Gateway to Detect Untrusted Information Nguyen Son Hoang Quoc, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto (KDDI Research) IT2018-77 ISEC2018-83 WBS2018-78 |
The machine-translated text is playing an important role in modern life which establishes wide communication among vario... [more] |
IT2018-77 ISEC2018-83 WBS2018-78 pp.13-19 |
AI |
2019-02-23 11:30 |
Tokyo |
|
Evaluation of the similarity between data jackets based on data users' recognition Nao Uehara, Teruaki Hayashi, Yukio Ohsawa (UT) AI2018-41 |
(To be available after the conference date) [more] |
AI2018-41 pp.23-28 |
DE, IPSJ-DBS |
2018-12-22 10:00 |
Tokyo |
National Institute of Informatics |
An Automatic Synchronization Method of Lyrics and Pictures using Word Embedding and Generic Object Recognition Syo Yamaguchi, Daisuke Kitayama (Kogakuin Univ.) DE2018-25 |
Generating and sharing video content has become popular. Some video contents are the slideshow that combines pictures an... [more] |
DE2018-25 pp.29-34 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-10 13:15 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
[Invited Talk]
Review of Automatic Speech Recognition Methodology
-- Outlook of Acoustic-to-Word Model -- Tatsuya Kawahara (Kyoto Univ.) SP2018-48 |
The methodology of speech recognition has been changing due to the introduction of deep learning, in particular end-to-e... [more] |
SP2018-48 pp.25-30 |
SIS, ITE-BCT |
2018-10-25 15:40 |
Kyoto |
Kyoto University Clock Tower Centennial Hall |
[Tutorial Lecture]
Development and Application of Voice User Interface for Device Operation with High Usability Noboru Hayasaka (OECU) SIS2018-15 |
A speech recognition framework in smart speakers and smart phones require a network connection, which increases the burd... [more] |
SIS2018-15 pp.57-62 |
SP, SIP, EA |
2017-03-01 12:40 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Prosodic Word Embeddings for DNN-based speech synthesis Yusuke Ijima, Nobukatsu Hojo, Ryo Masumura, Taichi Asami (NTT) EA2016-109 SIP2016-164 SP2016-104 |
This paper proposed a novel word embeddings with prosodic information (prosodic word embeddings) for DNN-based speech sy... [more] |
EA2016-109 SIP2016-164 SP2016-104 pp.153-158 |
SP, SIP, EA |
2017-03-02 09:00 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Hardware Speech Sensor Based on Deep Neural Network Feature Extractor and Template Matching Yi Liu, Boyu Qian, Jian Wang, Takahiro Shinozaki (Titech) EA2016-135 SIP2016-190 SP2016-130 |
We explore the possibility of combination of a DNN-based feature extractor and template based matching for keyword detec... [more] |
EA2016-135 SIP2016-190 SP2016-130 pp.297-300 |