Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EA |
2024-05-22 15:20 |
Online |
Online |
Anomaly sound detection of industrial equipment using acoustical features related to timbral attribute Yasuji Ota, Ryoya Ogura, Masashi Unoki (JAIST) |
(To be available after the conference date) [more] |
|
AP, RCS (Joint) |
2023-11-17 11:25 |
Kumamoto |
Kumamoto Prefectural Workers' Welfare Hall (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Differential OFDM for Underwater Acoustic Communications and its Experimental Results in Sharrow Sea Environment Hiroshi Kubo, Taichi Fujita, Kouichi Hashimoto, Takumi Yoshimura (Ritsumeikan Univ.) RCS2023-172 |
It is well-known that underwater acoustic communications (UWACs) play an important role for underwater mobile communicat... [more] |
RCS2023-172 pp.101-106 |
HIP, HCS (Joint) [detail] |
2023-09-11 13:30 |
Ehime |
University of Human Environments |
Acoustic and Prosodic Entrainment Analysis in Conversation With Elderly People Hiroyuki Sugimoto, Hiroki Tanaka, Satoshi Nakamura (NAIST) HCS2023-57 HIP2023-47 |
Entrainment is observed in linguistic and non-linguistic features and is related to the quality of communication. In thi... [more] |
HCS2023-57 HIP2023-47 pp.1-6 |
OCS, OFT, LSJ (Joint) [detail] |
2022-08-25 15:35 |
Online |
Online |
Standardization Activities for Optical Fiber Sensors Shoji Adachi (PhoSC) OFT2022-10 |
Optical fiber sensors are being implemented in society both in Japan and overseas because of their features, such as the... [more] |
OFT2022-10 pp.22-27 |
UWT (2nd) |
2022-06-20 15:05 |
Online |
Online |
Underwater Acoustic Communications from Mobile Radio Communication's Point of View Hiroshi Kubo (Ritsumeikan Univ.) |
This paper discusses channel environments and wireless transmission technologies of underwater acoustic communications (... [more] |
|
LOIS |
2022-03-03 16:40 |
Online |
Online |
A method for Estimating Impression of Places with SSQP from Environmental sounds and Aerial photographs Yusuke Ono, Sunao Hara, Masanobu Abe (Okayama Univ.) LOIS2021-48 |
In this study, we study the quantification of the city characteristics based on the impressions of the sound environment... [more] |
LOIS2021-48 pp.51-56 |
EMM |
2022-01-27 15:25 |
Online |
Online |
A study of visual and acoustic features affecting optimal levels of whole-body vibration in multisensory content Shota Abe, Shuichi Sakamoto (Tohoku Univ.), Zhenglie Cui (Aichi univ. of tech.), Yoiti Suzuki (Tohoku Bunka Gakuen Univ.), Jiro Gyoba (Shokei Gakuin Univ.) EMM2021-89 |
Although it is well known that whole-body vibration enhances sense of reality perceived by multimodal content, it is unc... [more] |
EMM2021-89 pp.31-36 |
RCS, SIP, IT |
2022-01-20 10:55 |
Online |
Online |
Terrestrial Acoustic Communications Employing Transmit Precoding and Channel Interpolation Katsuyoshi Yamamoto, Hiroshi Kubo (Ritsumeikan Univ.) IT2021-31 SIP2021-39 RCS2021-199 |
This paper proposes 72kbps terrestrial acoustic communications (TRAC) using commercial acoustic electronic equipment and... [more] |
IT2021-31 SIP2021-39 RCS2021-199 pp.18-23 |
EA, ASJ-H |
2021-07-16 11:30 |
Online |
Online |
A study on the number of speech samples required for making acoustic models in tailor-made speech synthesis Keigo Narita, Naofumi Aoki, Atsuhito Udo, Yoshinori Dobashi (Hokkaido Univ.) EA2021-16 |
In this study, we created speaker dependent acoustic models with varying numbers of samples, and confirmed differences i... [more] |
EA2021-16 pp.75-76 |
SP, IPSJ-SLP, IPSJ-MUS |
2021-06-19 15:00 |
Online |
Online |
Preliminary study on synthesizing relaxing voices
-- from a perspective of recognized/evoked emotions and acoustic features -- Yuki Watanabe, Shuichi Sakamoto (Tohoku Univ.), Takayuki Hoshi, Yoshiki Nagatani, Manabu Nakano (Pixie Dust Technologies) SP2021-19 |
The goal of this study is to synthesize speech sound which induces relaxed emotion. As the preliminary study, we investi... [more] |
SP2021-19 pp.85-90 |
HIP |
2020-12-23 10:00 |
Online |
Online |
Acoustic features of a Japanese speech corpus for emotion(al) intensity estimation Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2020-64 |
ecently, there have been many studies on emotion estimation from non-linguistic speech data, but few studies on emotion ... [more] |
HIP2020-64 pp.55-60 |
EA, ASJ-H, EMM |
2020-11-20 09:00 |
Online |
Online |
[Poster Presentation]
Sound detection for laughter by using features based on auditory attributes Soichiro Tanaka (JAIST), Shota Morita (Fukuyama Univ), Masashi Unoki (JAIST) EA2020-24 EMM2020-39 |
This paper proposes a laughter detection method based on auditory attributes to detect special laughter such as a fake l... [more] |
EA2020-24 EMM2020-39 pp.15-20 |
SAT, RCS (Joint) |
2020-08-21 14:55 |
Online |
Online |
Differential Multi-Carrier Modulation Schemes for Severe Doubly-Selective Channels Hiroshi Kubo, Kouta Iwamoto, Tetsuro Kubo, Yuuka Tanaka, Yui Nakai (Ritsumeikan Univ.) RCS2020-88 |
This paper discusses differential multi-carrier (MC) modulation schemes on severe time and frequency selective channels,... [more] |
RCS2020-88 pp.49-54 |
SP, EA, SIP |
2020-03-03 09:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Implementation of a high-accuracy method for automatic fluency scoring of spontaneous English utterances by Japanese learners Ayano Yasukagawa, Shintaro Ando, Eisuke Konno, Zhenchao Lin, Yusuke Inoue, Daisuke Saito, Nobuaki Minematsu (UTokyo), Kazuya Saito (UCL) EA2019-134 SIP2019-136 SP2019-83 |
These days, many teachers claim importance of not native-likeness-based but intelligibility-based assessment of pronunci... [more] |
EA2019-134 SIP2019-136 SP2019-83 pp.189-194 |
MI |
2020-01-30 09:50 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
[Short Paper]
Fundamental study for relationship analysis between acoustic features by microscopy and pathological characteristics on brain tumors Daiki Matsumoto, Takashi Ohnishi, Kazuya Nakano, Takuya Ogawa, Seiichiro Hirono, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2019-98 |
In brain tumor resection surgery, the tumor is removed by judging from color and stiffness, and the type and malignancy ... [more] |
MI2019-98 pp.149-150 |
SWIM, SC |
2019-08-23 15:00 |
Osaka |
Osaka Sangyo Univ. |
Collection of Acoustical Environment Information on Wireless Network
-- sound recordings in 5G era -- Toru Takahashi, Toshihiro Akatsuka, Koji Yamada (OSU), Shohei Koyama, Hiroaki Masuda, Misao Kumokita, Toshio Tsukagoshi (FNETS) SWIM2019-16 SC2019-16 |
This report is described about developing acoustic environment information collecting service on the 5G network. The sys... [more] |
SWIM2019-16 SC2019-16 pp.25-28 |
EA, SIP, SP |
2019-03-14 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Initial analysis of emotional speech acted in noise Yi Zhao (NII), Atsushi Ando (NTT), Shinji Takaki, Junichi Yamagishi (NII), Satoshi Kobashikawa (NTT) EA2018-120 SIP2018-126 SP2018-82 |
Speakers usually adjust their way of talking in noisy environments involuntarily for effective communication, this adapt... [more] |
EA2018-120 SIP2018-126 SP2018-82 pp.125-130 |
SP |
2019-01-26 15:20 |
Ishikawa |
Kanazawa-Harmonie |
Acoustical Features of Perceived Urgency in Speech Maori Kobayashi, Yasuhiro Hamada, Masato Akagi (JAIST) SP2018-53 |
In this study, we compared influences of three acoustic features (speech rate, F0, and spectral sequence (amplitude)) to... [more] |
SP2018-53 pp.9-14 |
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 |
EA, ASJ-H |
2018-08-23 15:35 |
Miyagi |
Tohoku Gakuin Univ. |
An Investigation on Automatic Segmentation of Acoustic Events Based on Bayesian Information Criterion Wakaba Ohtsuki, Koji Abe, Shouichi Takane, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2018-35 |
Automatic segmentation of acoustic events has been studied by using Bayesian Information Criterion (BIC). First sound si... [more] |
EA2018-35 pp.45-50 |