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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 64  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICM 2024-03-22
09:30
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
A study of method for Auto-Generating of Orchestration Application
Satoshi Kondoh, Kazuki Aiura, Shingo Omata, Yu Miyoshi (NTT) ICM2023-52
In recent years, DX and new business creation using ICT have been actively promoted in various fields. In the past, when... [more] ICM2023-52
pp.41-46
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Vocal tract length perturbation-based pseudo-speaker augmentation for automatic speaker verification
Tomoka Wakamatsu, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2023-61 SIP2023-108 SP2023-43
In recent years, deep neural network (DNN)-based automatic speaker verification (ASV) systems have become mainstream. Da... [more] EA2023-61 SIP2023-108 SP2023-43
pp.1-6
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
16:05
Okinawa
(Primary: On-site, Secondary: Online)
Evaluating speech generation based on objective measures for text generation
Takaaki Saeki (UTokyo), Soumi Maiti (CMU), Shinnosuke Takamichi (UTokyo), Shinji Watanabe (CMU), Hiroshi Saruwatari (UTokyo) EA2023-133 SIP2023-180 SP2023-115
In the evaluation of speech generation, while subjective judgments have long been the gold standard, objective metrics s... [more] EA2023-133 SIP2023-180 SP2023-115
pp.421-426
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Enhancing Multi-Accent Automated Speech Recognition with Accent-Activated Adapters
Yuqin Lin, Longbiao Wang, Jianwu Dang (Tianjin Univ. & Univ. of Tokyo), Nobuaki Minematsu (Univ. of Tokyo) NLC2023-18 SP2023-38
This paper proposes the Accent-Activated adapter (AccentAct) approach to address the challenge of speech variations in m... [more] NLC2023-18 SP2023-38
pp.25-30
ICM, NS, CQ, NV
(Joint)
2023-11-22
15:25
Ehime Ehime Prefecture Gender Equality Center
(Primary: On-site, Secondary: Online)
A proposal for adopting environmental adaptation of IoT terminals
Yoji Yamato (NTT) NS2023-124
We proposed the concept of environment-adaptive software, which automatically converts and configures software code writ... [more] NS2023-124
pp.78-83
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Proposal for generating daily life logs in hospital wards through the use of RFID
Ryoma Seto (THCU), Hirona Okudaira (Daito Univ.), Koji Ono (THCU)
The need to reform the way nurses work has long been discussed. However, because nursing involves many detailed tasks su... [more]
AI 2023-09-12
16:50
Hokkaido  
Koki Miyauchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-34
Icons are indispensable elements for websites and smartphone applications. For website developers, the creation of icons... [more] AI2023-34
pp.201-206
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-23
13:50
Tokyo
(Primary: On-site, Secondary: Online)
[Poster Presentation] Generation of colored subtitle images based on emotional information of speech utterances
Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] SP2023-11
pp.54-59
NS 2023-04-14
11:15
Fukushima Nihon University, Koriyama Campus + Online
(Primary: On-site, Secondary: Online)
Automatic Test Cases Generation Method by Structuring Specification Documents using Deep Learning
Kiyoshi Ueda, Yuya Sato (Nihon Univ.) NS2023-8
In the development of large-scale communication software, problems such as high development costs and insufficient manpo... [more] NS2023-8
pp.38-43
MI 2023-03-06
13:15
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] MI2022-80
pp.38-39
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
10:05
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
High Accuracy Alignment of 3D Point Clouds Obtained from Multiple View Point Images for Automatic Wire Harness Placement Environments
Erika Hata, Eiji Fukuzawa, Jun Ohya (Waseda Univ.) PRMU2022-103 IBISML2022-110
In automatic wire harness routing environments, we are exploring methods for generating 3D maps with high accuracies by ... [more] PRMU2022-103 IBISML2022-110
pp.232-237
AI 2022-12-21
10:40
Fukuoka   Density-based Bias-Free Automatic Chart Generation for Rhythm Games
Zhao Yifan, Tsunenori Mine (Kyushu Univ.) AI2022-35
Automatic chart generation methods for rhythm games often use both acoustic features and difficulty information when bui... [more] AI2022-35
pp.13-17
RCS, SIP, IT 2022-01-20
14:05
Online Online Automatic Modulation Classification Based on SNR estimation using Multi-Task Learning
Wataru Machida, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) IT2021-56 SIP2021-64 RCS2021-224
Automatic modulation classification is a technology that identifies the modulation type used in received signals and pla... [more] IT2021-56 SIP2021-64 RCS2021-224
pp.155-160
NLC 2021-09-16
16:15
Online Online Construction of Japanese Essay Data for Evaluating Automatic Essay Scoring System
Koichi Takeuchi, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tasuhiko Abo, Hitoshi Ueda (Okayama Univ.) NLC2021-15
We construct Japanese essay data for evaluating automatic essay scoring system. The essays are written by Japanese nativ... [more] NLC2021-15
pp.40-44
SAT, SANE
(Joint)
2020-02-19
14:15
Okinawa   Separate Detection of Collided Packets using Parallel Interference Cancellation over Space-based AIS Channels
Yuwa Takanezawa, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech.), Daichi Hirahara (JAXA) SAT2019-73
Recently, satellite-based automatic identification system (AIS) has attracted much attentions because it can receive AIS... [more] SAT2019-73
pp.33-38
WPT 2019-06-11
11:05
Hokkaido Hokkaido Univ. Searching for highly efficient operating condition of an RF-DC conversion circuit using an automatic designing method based on genetic algorithm
Takuma Akada, Kazuhiro Fujimori (Okayama Univ.) WPT2019-18
In this research, input stage and output stage of RF-DC conversion circuit is investigated to show optimal operating con... [more] WPT2019-18
pp.41-46
NLC, IPSJ-IFAT 2019-02-08
09:30
Kyoto Ryukoku University Omiya Campus Selection of Figurative Expression Using Automatically Generated Data Set
Yuto Mitsuishi, Kazutaka Shimada (Kyutech) NLC2018-42
Figurative expressions are one of effective approaches to lead readers to understand.
In this paper, we propose a selec... [more]
NLC2018-42
pp.35-40
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
16:30
Tokyo Waseda Univ. Nishiwaseda Campus Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data
Masayuki Ohno, Koichi Takeuchi, Kota Motojin, Yuya Obata, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ.) NLC2018-33
In this paper, we describe an on-going study of developing an
automatic essay-scoring system in Japanese. Essay scoring... [more]
NLC2018-33
pp.103-108
ET 2018-12-08
11:00
Niigata Nagaoka University of Technology Support of Programming Exercise Lesson Using Personal Adaptive Hints Suggesting and Leading Method
Takayuki Suzuki, Yuji Nogami, Kazuhiro Notomi (Kanagawa Inst. of Tech.) ET2018-67
In programming education for beginners, it is necessary to understand algorithms and understand the grammar of programmi... [more] ET2018-67
pp.9-14
SANE 2018-10-12
13:30
Tokyo The University of Electro-Communications Automatic Target Recognition based on Generative Adversarial Networks for Synthetic Aperture Radar Images
Yang-Lang Chang, Bo-Yao Chen, Chih-Yuan Chu, Sina Hadipour (NTUT), Hirokazu Kobayashi (OIT) SANE2018-51
Synthetic Aperture Radar (SAR) is an all day and all weather condition imaging technique which is widely used in nationa... [more] SANE2018-51
pp.41-44
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