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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| WIT | 2023-06-16 14:20 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Study on Sign Language Recognition Using Deep Learning
-- Recognition by conformer with the introduction of two-word sentences and sign language dictionary structure -- Kouki Ikeda, Tsutomu Kimura (National Institute of Technology,Toyota College)  WIT2023-2 |
This study aims to recognize words used in sentences in sign language recognition using machine learning. In order to tr... [more] | WIT2023-2 pp.6-11 |
| WIT, IPSJ-AAC | 2022-03-08 13:25 |
Online | Online | A Study on Sign Recognition Using Deep Learning
-- Comparison between CTC and Conformer -- Hikaru Isogai, Tsutomu Kimura (NIT, Toyota College), Kanda Kazuyuki (National Museum of Ethnology) WIT2021-48 |
In this study, our purpose is to recognize signs using machine learning. In order to take into account the transition mo... [more] | WIT2021-48 pp.29-34 |
| WIT, IPSJ-AAC | 2021-03-06 14:40 |
Online | Online | A Study on Sign Language Recognition Using Deep Learning
-- Word recognition from sign language sentences -- Isogai Hikaru, Kimura Tsutomu (NIT, Toyota College), Kanda Kazuyuki (National Museum of Ethnology) WIT2020-38 |
In this study, we developed a machine leaning-based sign language recognition system that can recognize each word in a s... [more] | WIT2020-38 pp.47-52 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2020-12-02 09:40 |
Online | Online | Fast End-to-End Speech Recognition with CTC and Mask Predict Yosuke Higuchi (Waseda Univ.), Hirofumi Inaguma (Kyoto Univ.), Shinji Watanabe (JHU), Tetsuji Ogawa, Tetsunori Kobayashi (Waseda Univ.) NLC2020-13 SP2020-16 |
We present a fast non-autoregressive (NAR) end-to-end automatic speech recognition (E2E-ASR) framework, which generates ... [more] | NLC2020-13 SP2020-16 pp.1-6 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2020-06-04 14:00 |
Online | Online | An experimental comparison of CNN- and CRNN-CTC for automatic phrase speech recognition systems using a children's speech database Yunzhe Wang, Yu Tian (Hokkaido Univ.), Yoshikazu Miyanaga (CIST), Hiroshi Tsutsui (Hokkaido Univ.) SIS2020-9 |
Children's speech recognition is still a challenging issue. In the case of children's speeches, the accuracy of conventi... [more] | SIS2020-9 pp.49-54 |
| SP, EA, SIP | 2020-03-02 15:45 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Performance evaluation of distilling knowledge using encoder-decoder for CTC-based automatic speech recognition systems Takafumi Moriya, Hiroshi Sato, Tomohiro Tanaka, Takanori Ashihara, Ryo Masumura, Yusuke Shinohara (NTT) EA2019-131 SIP2019-133 SP2019-80 |
We present a novel training approach for connectionist temporal classification (CTC) -based automatic speech recognition... [more] | EA2019-131 SIP2019-133 SP2019-80 pp.175-180 |
| PRMU | 2018-12-13 14:55 |
Miyagi | Fast Distributional Smoothing for CTC-VAT and its Application to Text Line Recognition Ryohei Tanaka, Soichiro Ono, Akio Furuhata (Toshiba Digital Solutions) PRMU2018-80 |
Virtual Adversarial Training (VAT), which smooths posterior distribution by minimizing distributional distance of poster... [more] | PRMU2018-80 pp.29-34 |
|
| AI | 2018-08-27 14:15 |
Osaka | Temporal Variability of Precipitation Events in Fukuoka, Kumamoto, and Kagoshima in Kyusyu Naoki Matsumoto, Kenta Ogino (Kumamoto Univ.), Ken-ichi Fukui (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.) AI2018-20 |
This work quantitatively evaluates the differences in rainfall events in Fukuoka, Kumamoto, and Kagoshima, which are lo... [more] | AI2018-20 pp.39-44 |
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| SP | 2018-08-27 15:55 |
Kyoto | Kyoto Univ. | Sound Event Encoder Using Onomatopoeic Representations based on End-to-End Approach Koichi Miyazaki, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2018-30 |
In this paper, we propose a sound event encoder for converting sound events into their onomatopoeic representations. The... [more] | SP2018-30 pp.37-42 |
| MBE, NC (Joint) |
2017-12-16 09:00 |
Aichi | Nagoya University | Bristol Stool Scale Classification of Falling Simulated Stool from Spatio-Temporal Image Chizuru Honda, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) MBE2017-53 |
The shape and hardness of stools reflect the health condition in the intestine. The Bristol Stool Scale is an index to c... [more] | MBE2017-53 pp.1-6 |
| PRMU | 2017-12-17 09:30 |
Kanagawa | Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2017-101 |
Action sequence recognition aims to recognize what actions occur in a video and their temporal order. In this paper, we ... [more] | PRMU2017-101 pp.1-6 |
|
| IBISML | 2017-03-07 14:00 |
Tokyo | Tokyo Institute of Technology | CTC network with explicit representation vector of Markov property Yuta Kawachi, Taichi Asami, Yoshikazu Yamaguchi, Yushi Aono (NTT) IBISML2016-111 |
Current neural acoustic models are incapable of utilizing language resources except speech transcriptions. So toward the... [more] | IBISML2016-111 pp.83-88 |
| IN | 2017-01-20 10:20 |
Aichi | Spatio-Temporal Emotion Estimation for Automatic Map Generation of Emotion Distributions Satoru Watanabe, Komei Arasawa, Motoki Eida, Syun Hattori (Muroran Inst. of Tech.) IN2016-94 |
A certain place gives an effect on its visitor's emotion. For instance, a person who is tired of work climbs Mt. Fuji an... [more] | IN2016-94 pp.55-60 |
|
| SP | 2016-10-27 16:00 |
Shizuoka | Shizuoka University. | Word modeling for end-to-end Japanese speech recognition Hitoshi Ito, Aiko Hagiwara, Manon Ichiki, Takeshi Mishima, Shoei Sato (NHK), Akio Kobayashi (NES) SP2016-47 |
In this paper, we propose a novel modeling for end-to-end Japanese speech recognition using Deep Neural Networks(DNN). W... [more] | SP2016-47 pp.31-36 |
| PRMU, BioX | 2016-03-24 10:00 |
Tokyo | Temporal Spotting of Human Actions in Video Based on Voting Framework with a Hierarchical Action Model Keita Hara, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) BioX2015-42 PRMU2015-165 |
This paper focuses on the task of temporal action spotting: temporal segmentation and classification of human actions in... [more] | BioX2015-42 PRMU2015-165 pp.7-12 |
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| DE, IPSJ-DBS, IPSJ-IFAT | 2015-08-06 16:20 |
Nara | Todaiji Culture Center | Illegal Movie Detection by Using Comment Distribution Based on Temporal Correlation in NicoNico Douga Hayato Shimizu, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Tokushima Univ) DE2015-19 |
Recently, the video sharing site such as NicoNico Douga or YouTube are used for various uses by individuals and corpor... [more] |
DE2015-19 pp.97-101 |
| PRMU, CNR | 2014-02-14 15:40 |
Fukuoka | Temporal Spotting of Human Actions from Videos Including Motions Unrelated to Actor's Intention Keita Hara, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2013-165 CNR2013-73 |
This paper proposes a method for temporal action spotting: the temporal segmentation and classification of human actions... [more] | PRMU2013-165 CNR2013-73 pp.183-188 |
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| SP, IPSJ-SLP (Joint) |
2012-07-21 12:00 |
Yamagata | Hotel Takinoyu (Yamagata Pref.) | WFST-based Structured Classification of Features Extracted by Using Deep Neural Networks Yotaro Kubo, Takaaki Hori, Atsushi Nakamura (NTT) SP2012-57 |
Multilayer perceptrons, which include more than 2 hidden layers, are known to be efficient for modeling of complex class... [more] | SP2012-57 pp.39-44 |
| MI | 2009-01-20 17:25 |
Overseas | National Taiwan University | Morphometry of 4D Eigen Spectral Images for Characterizing Spatio-temporal Properties of Intratumoral Enhancement Patterns in Dynamic Contrast-enhanced Breast MRI Sang Ho Lee, Jong Hyo Kim, Yun Sub Jung, Jeong Joo Song (Seoul National Univ.), Jeong Seon Park (Hanyang Univ.), Nariya Cho, Woo Kyung Moon (Seoul National Univ.) MI2008-129 |
This study was designed to characterize the spatio-temporal properties of intratumoral enhancement patterns on 4D eigen ... [more] | MI2008-129 pp.315-318 |
| NC | 2008-10-24 13:25 |
Miyagi | Tohoku Univ. | Decodings of spatio-temporal neural activities by classification and regression methods Akihiro Funamizu, Ryohei Kanzaki, Hirokazu Takahashi (Univ. Tokyo) NC2008-54 |
The proper neural activity patterns improve the correct identification of decoders which decode motor/sensory informatio... [more] | NC2008-54 pp.95-100 |
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