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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
15:55
Okinawa
(Primary: On-site, Secondary: Online)
Self-Supervised Learning With Spatial Audio-Visual Recording for Sound Event Localization and Detection
Yoto Fujita (Kyoto Univ.), Yoshiaki Bando (AIST), Keisuke Imoto (Doshisha Univ./AIST), Masaki Onihsi (AIST), Yoshii Kazuyoshi (Kyoto Univ.) EA2022-89 SIP2022-133 SP2022-53
This paper describes an unsupervised pre-training method for sound event localization and detection (SELD) on multi-chan... [more] EA2022-89 SIP2022-133 SP2022-53
pp.78-82
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
14:40
Okinawa
(Primary: On-site, Secondary: Online)
Anomalous sound detection based on differential features of multi channel acoustic signals considering spatial and temporal variations
Shota Nishiyama, Akira Tamamori (AIT)
Anomalous sound detection plays an essential role in machine condition management in factory automation. The task of ano... [more]
EMM 2023-01-26
11:05
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
[Invited Talk] Sound Event Detection and Localization for Humanoid Robots
Yong-Hwa Park (KAIST) EMM2022-64
Pursuing intelligent machines that recognize human’s condition and surrounding events autonomously, this lecture focuses... [more] EMM2022-64
p.19
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
12:15
Online Online (Zoom) Towards detecting birds from panorama video aided by Sound Source Localization
Baidong Chu, Chihaya Matsuhira (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Marc A. Kastner (NII), Takahiro Komamizu, Ichiro Ide, Daisuke Deguchi (Nagoya Univ.) IMQ2021-21 IE2021-83 MVE2021-50
In this report, we study a method to detect birds from a panorama video aided by Sound Source Localization (SSL). In the... [more] IMQ2021-21 IE2021-83 MVE2021-50
pp.60-64
EA, US
(Joint)
2020-01-22
14:00
Kyoto Doshisha Univ. [Poster Presentation] Comparison of propagation phenomenon of ultrasound and secondary wave using numerical analysis of nonlinear acoustics -- sound wave diffracting to occlusion area --
Motoharu Oyama, Kan Okubo (Tokyo Metropolitan Univ.) US2019-85
Feasibility of acoustic sensing for occlusion areas combining super-directivity speaker and pulse compression technique ... [more] US2019-85
pp.83-87
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A study on sound source direction detection method using coefficients of adaptive filter
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.) EA2018-141 SIP2018-147 SP2018-103
In this paper, we propose a method for detecting sound source direction using coefficients of adaptive filter. For detec... [more] EA2018-141 SIP2018-147 SP2018-103
pp.243-250
EMM 2019-03-13
16:50
Okinawa TBD An attempt of source position estimation based on multipoint observation of infrasound
Zhenglie Cui, Ryosuke Sasahara (Tohoku Univ.), Ryouichi Nishimura (NICT), Yoiti Suzuki (Tohoku Univ.) EMM2018-110
Since infrasound travels in the atmosphere significantly faster than tsunami gravity waves, early detection of tsunamis ... [more] EMM2018-110
pp.101-104
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise Audio-haptic substitution wearable device to support sound direction detection
Ryota Sakuma, Tomoki Kurahashi, Yuki Fujita, Keiichi Zempo (Univ.Tsukuba)
In this research, we aim to complement the ability to estimate sound source direction of arrival for the people with hea... [more]
WBS, ITS, RCC 2018-12-06
15:35
Okinawa Miyako Island Hirara Port Terminal Bldg. Approach Detection of Emergency Vehicles using Siren Sound Processing
Yuki Ebizuka (AIST/TUS), Shin Kato (AIST), Makoto Itami (TUS) WBS2018-55 ITS2018-38 RCC2018-86
When an automated driving vehicle approaches emergency vehicles, it is obliged to prioritize such as temporary stop and ... [more] WBS2018-55 ITS2018-38 RCC2018-86
pp.153-158
ASN, SRW
(Joint)
2018-11-06
10:50
Tokyo Tokyo Denki University, Tokyo Senju Campus Position Estimation Method for Various Sound Source in Indoor Environment and its Basic Evaluation
Takeru Kadokura, Yuusuke Kawakita, Shigenori Ioroi, Hiroshi Tanaka (Kanagawa Institute of Technology) ASN2018-73
The authors have been studying an indoor positioning system using a diffused sound source for realization of highly accu... [more] ASN2018-73
pp.109-114
EA, ASJ-H 2018-08-23
15:10
Miyagi Tohoku Gakuin Univ. Investigation of abnormal sound detectionusing occurrence probability of regularsound based on Gaussian Mixture Model
Koji Abe, Moeko Hara, Shouichi Takane, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2018-34
In most abnormal sound detection systems, abnormal sounds are defined in advance and abnormal sounds are detected by mat... [more] EA2018-34
pp.37-44
EA, ASJ-H 2017-08-09
14:15
Miyagi Tohoku Univ., R. I. E. C. A study on reduction of reflective wave in sound source direction tracking system
Kazuo Takayama, Jun Satonobu, Masataka Nakamura (Hiroshima Inst. of Tech.) EA2017-30
Abstract
In a television conference system, a human assist robot, etc., it is required for the front of system to aut... [more]
EA2017-30
pp.21-26
EA, ASJ-H 2016-08-10
13:20
Miyagi Tohoku Gakuin Univ., Tagajo Campus Detection threshold of pure tone during sound localization with head movement
Yukio Iwaya (Tohoku Gkuin Univ.), Akio Honda (Yamanashi Eiwa Univ.), Yusuke Ozaki (Tohoku Gkuin Univ.) EA2016-29
We can localize a sound position with both ears (sound localization ability). It is known the characteristics between a ... [more] EA2016-29
pp.55-58
EA 2016-07-08
11:25
Shizuoka Yamaha, Toyooka Factory The sound direction tracking system with reduced infuluence of noise and reflected wave
Kazuo Takayama, Jun Satonobu, Masataka Nakamura (HIT) EA2016-13
In the realization of equipment such as video conferencing system , security camera and robot which can communicate with... [more] EA2016-13
pp.29-34
MoNA, IPSJ-DPS, IPSJ-MBL 2013-05-23
10:40
Okinawa Ishigaki City Hall [Encouragement Talk] Machine Learning Based Unpleasant Sound Detection by Electroencephalography
Takuya Imawaka, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2013-3
Acoustical environment which surrounds us has drastically changed and increased unpleasant sound sources. In such an unp... [more] MoNA2013-3
pp.13-18
SIS 2013-03-07
11:35
Shizuoka Create Hamamatsu A study on vechicle and pedestrian detection using linear microphone array
Akitoshi Itai (Chubu Univ.), Hiroshi Yasukawa (Aichi Prefectural Univ.) SIS2012-50
Due to recent trends in society, the enhanced car safety is strongly required. To prevent traffic accidents, it is impor... [more] SIS2012-50
pp.27-31
EA, SP, SIP 2012-05-25
11:15
Osaka Osaka Univ. Nakanoshima Center On Single Voice Activity Detection for 2 Channel Blind Source Separation
Syohei Ashikari, Arata Kawamura, Youji Iiguni (Osaka Univ) EA2012-25 SIP2012-25 SP2012-25
Degenerate Unmixing Estimation Technique (DUET) is a technique for blind source separation with two microphones.
DUET i... [more]
EA2012-25 SIP2012-25 SP2012-25
pp.143-148
EA, SP, SIP 2012-05-25
15:00
Osaka Osaka Univ. Nakanoshima Center A study of unusual sound detection based on multi stage environmental sound discrimination with multi-reverbrent-condition model
Junpei Ogawa, Kohei Hayashida, Masato Nakayama, Masanori Morise, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2012-29 SIP2012-29 SP2012-29
In recent years, the method for utilizing environmental sounds has been increasingly used for family to monitor the life... [more] EA2012-29 SIP2012-29 SP2012-29
pp.167-172
PRMU, SP 2012-02-09
16:30
Miyagi   [Poster Presentation] Improvement of the Speaker-direction Detection Method under Mechanical Noises using the phase segregation of SAFIA
Keisuke Kawano, Takeshi Kawabata (KGU) PRMU2011-215 SP2011-130
This paper describes an improvement of SAFIA-based speaker-direction detection method in our previous work. The system d... [more] PRMU2011-215 SP2011-130
pp.131-132
IPSJ-SLDM, SIP, IE, ICD [detail] 2010-10-06
11:50
Chiba Makuhari Messe, International Conference Hall Data-Intensive Sound Acquisition with Data Aggregation Protocol for Microphone Array Networks
Shintaro Izumi, Hiroki Noguchi, Tomoya Takagi, Koji Kugata, Shimpei Soda, Masahiko Yoshimoto, Hiroshi Kawaguchi (Kobe Univ.) SIP2010-67 ICD2010-81 IE2010-85
We propose a microphone array network that realizes ubiquitous sound acquisition. A number of nodes with sixteen microph... [more] SIP2010-67 ICD2010-81 IE2010-85
pp.95-100
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