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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
(Primary: On-site, Secondary: Online)
Speech synthesis from electrocorticogram using pre-trained neural vocoder
Kai Shigemi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Kohei Yatabe, Toshihisa Tanaka (TUAT)
(To be available after the conference date) [more]
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
(Primary: On-site, Secondary: Online)
Personality Recognition on Dyadic Interactions with Representation Learning
Nathania Nah (Tokyo Tech), Takafumi Koshinaka (YCU), Koichi Shinoda (Tokyo Tech) EA2022-117 SIP2022-161 SP2022-81
Personality computing explores methods of automatically measuring human traits to create a better understanding of the h... [more] EA2022-117 SIP2022-161 SP2022-81
ICTSSL, IN, NWS, IEE-SMF 2022-10-27
Nagano Shinshu University
(Primary: On-site, Secondary: Online)
A Study on Sleep Time Determination Method for Landslide Disaster Sensing Data Transmission Scheduling during Heavy Rain
Takumi Kondo, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (HCU) ICTSSL2022-20
It is important to early provide evacuation notifications to prevent residents from landslide disaster. To provide appro... [more] ICTSSL2022-20
ICTSSL, IN, NWS, IEE-SMF 2022-10-28
Nagano Shinshu University
(Primary: On-site, Secondary: Online)
Development and Evaluation of Landslide Disaster-related Information TV Notification System Cooperated with Smartphone
Takuya Hosokawa, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (HCU) ICTSSL2022-21
In order to prevent human casualties, it is necessary to have a system that can transfer decisive information for evacua... [more] ICTSSL2022-21
AP 2022-10-20
(Primary: On-site, Secondary: Online)
A Study on the Relationship between Atmospheric Inversion Layer and Duct Propagation from Korea in VHF Band
Rikito Tateishi, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) AP2022-140
It is important to understand the radio environment of the VHF band in detail, because the FM broadcast waves in VHF ban... [more] AP2022-140
AP 2022-10-20
(Primary: On-site, Secondary: Online)
Estimation of Radio Propagation Loss Based on Radiation Characteristics in Consideration of Buildings around Transmitting Antenna for The Temporal Disaster-Broadcasting
Seitaro Taira, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (HCU) AP2022-142
It is important for temporal disaster-broadcasting to accurately determine the area where the radio wave can be receive... [more] AP2022-142
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
(Primary: On-site, Secondary: Online)
Incorporating Acoustic and Textual Information for Language Modeling in Code-switching Speech Recognition
Roland Hartanto, Kuniaki Uto, Koichi Shinoda (TokyoTech) EA2021-73 SIP2021-100 SP2021-58
People who speak two or more languages tend to alternate the language when they are speaking. This particular phenomenon... [more] EA2021-73 SIP2021-100 SP2021-58
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
(Primary: On-site, Secondary: Online)
[Poster Presentation] Transformer-based Text Decoding using Electrocorticography
Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) EA2021-87 SIP2021-114 SP2021-72
Invasive brain-machine interfaces (BMIs) are a promising neurotechnology for achieving direct speech communication from ... [more] EA2021-87 SIP2021-114 SP2021-72
ICTSSL, IEE-SMF, IN 2021-10-22
Online Online Wavelet Transform based Indoor Human Presence/Absence Detection using Several Receivers of 920 MHz Band Radio Waves
Tsgunosuke Horita, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2021-22
There is a growing need for estimation of human presence/absence detection in a room for crime prevention, watching over... [more] ICTSSL2021-22
ICTSSL, IEE-SMF, IN 2021-10-22
Online Online Differences in Classification Accuracy of Landslide Hazard using Fixed-point Observation Images due to Network and Image Processing in Deep Learning
Keisuke Tokumoto, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2021-26
In recent years,several landslides included by heavy rains have caused a lot of human damage in Hiroshima. Early evacuat... [more] ICTSSL2021-26
Online Online 3D human pose and shape reconstruction with differentiable renderer from body part segmentation
Rintaro Sakurai, Kuniaki Uto, Koichi Shinoda (Tokyo Tech) PRMU2021-6
(To be available after the conference date) [more] PRMU2021-6
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
Online Online [Poster Presentation] Noise-robust time-domain speech separation with basis signals for noise
Kohei Ozamoto (Tokyo Tech), Koji Iwano (TCU), Kuniaki Uto, Koichi Shinoda (Tokyo Tech) EA2020-70 SIP2020-101 SP2020-35
Recently, speech separation using deep learning has been extensively studied. TasNet, a time-domain method that directly... [more] EA2020-70 SIP2020-101 SP2020-35
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
SeMI, IPSJ-MBL, IPSJ-UBI [detail] 2021-03-02
Online Online A Study on Transmission Scheduling of Sensor System Using LPWA for Landslide Indication Detection
Satoshi Dehara, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ) SeMI2020-65
In order to promote early evacuation and reduce human causalities in landslide disasters, it is important to detect the ... [more] SeMI2020-65
PRMU 2020-12-17
Online Online [Short Paper] Few-Shot Incremental Learning by Unifying with Variational Autoencoder
Keita Takayama, Kuniaki Uto, Koichi Shinoda (TokyoTech) PRMU2020-48
We propose a few-shot incremental learning method using a variational autoencoder for deep learning. In incremental lear... [more] PRMU2020-48
SP, EA, SIP 2020-03-03
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Comparison of Language Models for a Design of Reduced Phoneme Set
Shuji Komeiji, Toshihisa Tanaka (TUAT), Koichi Shinoda (titech) EA2019-152 SIP2019-154 SP2019-101
Language models for a design of reduced phoneme set are compared each other.
The reduction of the phoneme set improves ... [more]
EA2019-152 SIP2019-154 SP2019-101
ICTSSL, CAS 2020-01-31
Tokyo   Study on Propagation Characteristics of 920 MHz Band Radio Waves in Mountainous Region for Landslide Sensing Network
Takuya Usui, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) CAS2019-85 ICTSSL2019-54
In Hiroshima, human damage caused by landslides is a serious problem. It is important to evacuate residents early in ord... [more] CAS2019-85 ICTSSL2019-54
PRMU, IPSJ-CVIM 2019-05-31
Tokyo   Study on feature extraction from leaf-scale plant images
Kuniaki Uto (Tokyo Tech), Mauro Dalla Mura, Jocelyn Chanussot (Grenoble INP), Koichi Shinoda (Tokyo Tech) PRMU2019-7
With the advent of an unmanned aerial vehicle (UAV) and sensing technologies, it is possible to acquire leaf-scale aeria... [more] PRMU2019-7
EA, SIP, SP 2019-03-14
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A robust algorithm of phase recovery for speech enhancement
Dongxiao Wang, Koichi Shinoda (TokyoTech), Hirokazu Kameoka (NTT) EA2018-122 SIP2018-128 SP2018-84
 [more] EA2018-122 SIP2018-128 SP2018-84
PRMU 2018-12-14
Miyagi   [Short Paper] Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network
Thao Minh Le, Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2018-86
This work introduces a new framework for skeleton-based human action recognition. Existing approaches using Convolutiona... [more] PRMU2018-86
 Results 1 - 20 of 80  /  [Next]  
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