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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2024-05-22 14:55 |
Online | Online | Environmental sound synthesis and creation of dataset using vocal imitations Yuki Okamoto (Ritsumeikan Univ.), Keisuke Imoto (Doshisha Univ.), Shinnosuke Takamichi (The Univ. of Tokyo/Keio Univ.), Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) |
(To be available after the conference date) [more] | |
| WIT, IPSJ-AAC | 2024-03-18 10:25 |
Ibaraki | Tsukuba University of Technology (Primary: On-site, Secondary: Online) |
AR Onomatopoeia Teaching System that Interactively Displays Onomatopoeia by Environmental Sound Recognition Yuito Arisumi, Yutaro Hirao, Monica Perusquia-Hernandez (NAIST), Naoya Isoyama (Otsuma Women's University), Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST)  WIT2023-40 |
In recent years, due to the increase in foreign residents and the expansion of social participation among people with he... [more] | WIT2023-40 pp.7-12 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Environmental Sound Synthesis in the Case of Pausing in Virtual Walking Applications Hiroshi Nishijima, Wakuto Morita, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2023-96 SIP2023-143 SP2023-78 |
In this study, we investigated the synthesis of environmental sounds for pausing states in virtual walking applications ... [more] | EA2023-96 SIP2023-143 SP2023-78 pp.208-213 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Getting Started With Environmental Sound Analysis and Synthesis Keisuke Imoto (Doshisha Univ.) EA2023-118 SIP2023-165 SP2023-100 |
With the development of machine learning techniques and improvements in computing power, audio analysis and synthesis te... [more] | EA2023-118 SIP2023-165 SP2023-100 p.333 |
| NS, IN (Joint) |
2024-02-29 10:45 |
Okinawa | Okinawa Convention Center | An Experimental Study of Noise-Induced Phase Synchronization Among Independent Oscillators for Platoon-Based Cooperative Sensing Akihiro Miura, Yukio Ogawa, Mianxiong Dong, Kaoru Ota (Muroran-IT) IN2023-80 |
In cooperative sensing using a platoon, cooperative sensing requires wireless communication, which can be difficult due ... [more] | IN2023-80 pp.89-94 |
| SAT, SANE (Joint) |
2024-02-08 11:25 |
Kagoshima | AmaHome PLAZA (Amami City Shimin Koryu Center) (Primary: On-site, Secondary: Online) |
[Special Talk]
Overview of Narrowband Data Communication FT8 in Amateur Radio and Consideration of its Application in Environmental Monitoring Hiroki Irie, Kiyoharu Hama, Kiyoteru Hayama, Tomohiro Kudou (NIT,Kumamoto) SAT2023-63 |
In environmental monitoring IoT systems, it is convenient to use cellular networks, Wi-Fi, LoRa, etc. for wireless commu... [more] | SAT2023-63 pp.23-26 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Environmental Sound Separation Considering Separation Distortion and Remixing Error Kanta Shimonishi, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-24 |
This report aims to improve the performance of environmental sound separation by considering not only the separated soun... [more] | SP2023-24 pp.119-124 |
| IN, NS (Joint) |
2023-03-02 12:50 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Experimental study on synchronizing platooning applications to environmental noise variation Akihiro Miura, Yukio Ogawa, Dong Mianxiong, Kaoru Ota (MuroranIT) IN2022-77 |
This paper aims to develop a mechanism that adaptively adjusts the sensing frequency in response to changes in environme... [more] | IN2022-77 pp.69-74 |
| HCS | 2023-03-02 12:30 |
Shizuoka | Tokoha University（KusanagiCampus） (Primary: On-site, Secondary: Online) |
Sound Signal Generation for the Visually Impaired to Recognize the Scenery Using Music
-- Depth Information with LIDAR and the Expression by Sound Level and Frequence Modulation -- Naoki Aoyama (Osaka City Univ.), Shigeyoshi Nakajima, Tetsuo Tsujioka, Ikuo Oka, Hitoshi Watanabe (Osaka Metropolitan Univ.), Natsumi Kudo (Osaka City Univ.) HCS2022-80 |
In this paper, we propose a system that converts depth information with LIDAR into acoustic signals by sound level or fr... [more] | HCS2022-80 pp.23-28 |
| SIS | 2023-03-03 10:50 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
SIS2022-51 |
The sound environment is protected by noise level regulations based on the law, and the number of noise complaints conti... [more] | SIS2022-51 pp.58-63 |
| HCS | 2022-03-11 14:00 |
Online | Online | Sound Signal Generation for the Visually Impaired to Recognize the Scenery Using Music
-- Depth Information with LIDAR and the Expression by Pulse Width Modulation -- Naoki Aoyama, Shigeyoshi Nakajima, Tetsuo Tsujioka, Ikuo Oka, Hitoshi Watanabe (Osaka City Univ.) HCS2021-66 |
In this paper, we propose a system that converts depth information with LIDAR into acoustic signals by PWM, and grasps s... [more] | HCS2021-66 pp.31-36 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | A Method for Detecting Factors Affecting Cognitive Function in Environmental Sounds Yasuhiro Kawahara (OUJ), Hiroshi Yoshida (NTT), Laurent Poittier, Pierre Maret (JM) |
The detection of environmental sounds that affect us in our daily life makes it possible to assess the suitability of th... [more] | |
| SIS | 2021-03-04 10:00 |
Online | Online | A Proposed Method of Loud Boat Prediction with Boat type by Boat Noise Using CNN Haruki Yamaguchi, Kenji Muto (Shibaura Inst. Tech.), Yosuke Kobayashi (Muroran Inst. Tech.) SIS2020-38 |
One of a canal, some boats generate loud sound reaching the noise level of 70 dB inside houses. We have proposed a syste... [more] | SIS2020-38 pp.15-20 |
| SIS | 2021-03-04 10:20 |
Online | Online | Evaluation of Sound Field by Monofractal Dimension Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-39 |
Environmental sound is composed of sounds generated from various sources. And, the sound pressure waveform is constantly... [more] | SIS2020-39 pp.21-26 |
| SIS | 2021-03-04 10:40 |
Online | Online | Effect of Environmental Sound from Outside of Building to Inside by Using Fractal Dimension Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto, Hideo Shibayama (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-40 |
We are conducting the study of evaluating method for environmental sound using complexity of time series wave of amplitu... [more] | SIS2020-40 pp.27-32 |
| SIS | 2021-03-04 15:00 |
Online | Online | [Tutorial Lecture]
The Analysis of a Sound Wave Complexity for Keeping Sound Environment Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto, Hideo Shibayama (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-49 |
We are conducting the study of evaluating method for environmental sound using complexity of time series wave of amplitu... [more] | SIS2020-49 pp.77-82 |
| SIS | 2020-03-06 12:10 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
The Variation of Fractal Dimension in Environmental Sound Wave during Medium to Long Term Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2019-55 |
Our study is developing new method to evaluate the self-similarity waveform using the Fractal dimensions. From the stu... [more] |
SIS2019-55 pp.101-106 |
| SIS | 2019-03-06 14:00 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | The study of the Fractal Dimension and Autocorrelation of Environmental Sound Wave Yoshiaki Makabe, Tomoaki Kimura (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology) SIS2018-40 |
Our study is developing new method for evaluating environmental sound. It uses the self similarity of sound wave and is ... [more] | SIS2018-40 pp.17-22 |
| EA, ASJ-H, ASJ-AA | 2018-07-24 11:20 |
Hokkaido | Hokkaido Univ. | Performance Enhancement of a Wind noise reduction method using DNN Toya Kitagawa, Kazuhiro Kondo (Yamagata Univ.), Yosuke Kobayashi (Muroran Institute of Technology) EA2018-3 |
In a speech navigation system using bicycle Audio Augmented Reality, blocking of the environmental sound by wearing the ... [more] | EA2018-3 pp.13-18 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa | [Poster Presentation]
Performance evaluation of unknown sound clustering for indoor-environmental sound classification based on self-generated acoustic model Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Keisuke Imoto, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-152 SIP2017-161 SP2017-135 |
Indoor-environmental sound classification is useful for surveillance systems which monitor the situations in the dark an... [more] | EA2017-152 SIP2017-161 SP2017-135 pp.277-280 |
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