Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 14:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Evaluating the Ranking Performance of Transferable Influencer Identification Methods with a Focus on Follower Counts of Influencers Kota Tahara, Sho Tsugawa (UT) CQ2023-76 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] |
CQ2023-76 pp.32-37 |
NLC, IPSJ-NL |
2024-03-10 18:55 |
Hyogo |
(Primary: On-site, Secondary: Online) |
Language Model for Variable Definition Extraction from Chemical Process-related Papers Shota Kato, Kotaro Nagayama, Manabu Kano (Kyoto Univ.) NLC2023-25 |
Extracting variable definitions from scientific papers is crucial for understanding and leveraging research findings, ye... [more] |
NLC2023-25 pp.13-18 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Improving training recipe of Remixed2Remixed for speech enhancement Li Li, Shogo Seki (CyberAgent) EA2023-95 SIP2023-142 SP2023-77 |
In the use of deep learning for speech enhancement, supervised learning models that use pairs of clean speech and artifi... [more] |
EA2023-95 SIP2023-142 SP2023-77 pp.202-207 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Domain adaptation of speech recognition model based on multilingual SSL model with only nonparallel corpus. Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yukoh Wakabayashi (TUT), Kengo Ohta (NITA), Norihide Kitaoka (TUT) EA2023-100 SIP2023-147 SP2023-82 |
Automatic speech recognition (ASR) models are used in various services and businesses, and each domain’s recognition acc... [more] |
EA2023-100 SIP2023-147 SP2023-82 pp.232-237 |
EST |
2024-01-26 14:25 |
Kyoto |
Kyoto University ROHM Plaza (Primary: On-site, Secondary: Online) |
Application of electron density identification by VLF wave variations to realistic ionosphere model Toshiyuki Irie, Yoshiaki Ando (UEC) EST2023-119 |
The identification method of electron density distribution is proposed. The method utilizes temporal variation of the ve... [more] |
EST2023-119 pp.112-116 |
EA, US (Joint) |
2023-12-23 13:25 |
Fukuoka |
|
Excitation analysis based on the frequency-domain Prony method
-- Extracting and representing driving terms in time-frequency domain -- Shigeru Ando (Univ. Tokyo) EA2023-60 |
Frequency-domain Prony method (FDPM) proposed recently (S. Ando, IEEE Trans. SP, 2020) identifies the autoregressive (AR... [more] |
EA2023-60 pp.65-72 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more] |
|
NLC |
2023-09-06 14:10 |
Osaka |
Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Construction and Validation of Pre-trained Language Model Using Corpus of National and Local Assembly Minutes Keiyu Nagafuchi (HU), Eisaku Sato, Yasutomo Kimura (OUC), Kazuma Kadowaki (JRI), Kenji Araki (HU) NLC2023-3 |
In recent years, there has been a surge in pre-trained language models based on the large-scale corpora derived from the... [more] |
NLC2023-3 pp.12-17 |
CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
A Study on Generalization of Broker Identification Methods between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] |
|
CQ |
2023-07-12 14:50 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
A Study on Influencer Prediction Methods Applicable to Dfferent Domains Kota Tahara, Sho Tsugawa (ITF) CQ2023-12 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] |
CQ2023-12 pp.24-29 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2023-06-24 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Domain adaptation of speech recognition models based on self-supervised learning using target domain speech Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yuko Wakabayashi, Norihide Kitaoka (TUT) SP2023-19 |
In this study, we propose a domain adaptation method using only speech data in the target domain without using transcrib... [more] |
SP2023-19 pp.91-96 |
MI |
2023-03-06 16:25 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain Generalization for Mitosis Detection Yusuke Kurose (U-Tokyo), Yuko Hiroshima, Hiroshi Nanjo (Akita-U), Tatsuya Harada (U-Tokyo) MI2022-93 |
In pathological image analysis, it is known that the existence of inter-institutional differences (domain shift) causes ... [more] |
MI2022-93 pp.100-104 |
EST |
2023-01-26 13:50 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Basic Study of Electrio Magnetic Field Analysis of PCB based on DDM Type Parallel Finite Element Method Kanta Nishijima (UoM), Sota Goto, Toshio Murayama (Sony GM&O), Amane Takei (UoM) EST2022-81 |
In this study, we will verify the applicability of parallel high-frequency electromagnetic field analysis based on the e... [more] |
EST2022-81 pp.39-42 |
EST |
2023-01-26 15:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Extension of DCP-FDTD method to the three-dimensional problem for the analysis of arbitrarily-shaped dispersive media Kazuma Takeya, Tetsuya Iwamoto, Jun Shibayama, Junji Yamauchi, Hisamatsu Nakano (Hosei Univ.) EST2022-86 |
We have extended the contour-path effective-permittivity technique to three-dimensional (3-D) problems, in which a reaso... [more] |
EST2022-86 pp.64-69 |
SeMI, SeMI (Joint) |
2023-01-19 15:15 |
Tokushima |
Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Improving the Robustness of Wi-Fi Sensing against Environmental Change Sorachi Kato (OU), Tomoki Murakami (NTT), Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari (OU) SeMI2022-82 |
There is research on invasive sensing of objects using Channel State Information (CSI), which represents the propagation... [more] |
SeMI2022-82 pp.49-50 |
SeMI, SeMI (Joint) |
2023-01-20 10:20 |
Tokushima |
Naruto grand hotel (Primary: On-site, Secondary: Online) |
Arterial Blood Pressure Waveform Estimation from Photoplethysmogram under Inter-subject Paradigm by U-Net and Domain Adversarial Training Rikuto Yoshizawa, Kohei Yamamoto, Tomoaki Ohtsuki (Keio) SeMI2022-96 |
Blood pressure (BP) estimation methods using photoplethysmogram (PPG) signals based on deep learning models have been ac... [more] |
SeMI2022-96 pp.113-118 |
AP (2nd) |
2022-12-08 10:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Complex permittivity measurement of Si using THz-TDS Takuichi Hirano (TCU) |
Complex permittivity measurements of Si substrates were performed by terahertz time-domain spectroscopy (THz-TDS). 1) ca... [more] |
|
SIS |
2022-12-05 16:00 |
Osaka |
(Primary: On-site, Secondary: Online) |
Accuracy Improvement of Real Image Classification by Style Transfer Using Training Data Created from 3DCG Takeru Inoue, Youichi Tomita (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (Digital Printing & Solutions), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing), Ryusuke Miyamoto (Meiji Univ.) SIS2022-30 |
In general, in order to achieve sufficient accuracy by machine learning in practical applications, training data appropr... [more] |
SIS2022-30 pp.38-43 |
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] |
2022-12-01 15:20 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Domain and language adaptation of large-scale pretrained model for speech recognition of low-resource language Kak Soky (Kyoto University), Sheng Li (NICT), Chenhui Chu, Tatsuya Kawahara (Kyoto University) NLC2022-17 SP2022-37 |
The self-supervised learning (SSL) models are effective for automatic speech recognition (ASR). Due to the huge paramete... [more] |
NLC2022-17 SP2022-37 pp.45-49 |
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] |
2022-12-01 15:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
ASR model adaptation to target domain with large-scale audio data without transcription Takahiro Kinouchi, Daiki Mori (TUT), Ogawa Atsunori (NTT), Norihide Kitaoka (TUT) NLC2022-18 SP2022-38 |
Nowadays, speech recognition is used in various services and businesses thanks to the advent of high-performance models ... [more] |
NLC2022-18 SP2022-38 pp.50-53 |