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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
A study on loom operation analysis using acoustic signals for abnormality detection
Shinji Sako (NITech) EA2023-107 SIP2023-154 SP2023-89
In the textile industry, DXing of high-quality inspections at factories is essential from the perspective of improving p... [more] EA2023-107 SIP2023-154 SP2023-89
pp.274-276
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
MBE, NC
(Joint)
2017-03-13
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. The Application of the Acoustic Psychology on the Abnormal Sound Detection
Shota Nasu, Susumu Kuroyanagi (NIT) NC2016-67
The abnormal sound detection is a usable method for early warning system for a solitary elder person,and so on. Koike et... [more] NC2016-67
pp.19-24
RCS, IT, SIP 2016-01-18
11:50
Osaka Kwansei Gakuin Univ. Osaka Umeda Campus Abnormal Respiratory Sound Detection for Auscultatory Sound Using Wavelet Transform
Yuka Yokota, Keita Uchida, Masahiro Fukumoto (Kochi Univ. of Tech.) IT2015-62 SIP2015-76 RCS2015-294
An electronic stethoscope with the recording function of the auscultatory sound has been used in the field of the home-v... [more] IT2015-62 SIP2015-76 RCS2015-294
pp.85-89
MI 2015-03-03
13:40
Okinawa Hotel Miyahira A Study on Lesion Detection from Breast Ultrasound Images Based on Difference of Texture Change between Adjacent Regions
Yudai Yamazaki (Univ. of Tsukuba), Masaya Iwata, Hirokazu Nosato, Eiichi Takahashi, Hidenori Sakanashi (AIST) MI2014-111
In this paper, we propose a novel lesion detection method for breast ultrasound images.
In breast ultrasound images, t... [more]
MI2014-111
pp.283-288
LOIS, ICM 2014-01-17
14:50
Nagasaki Nagasaki Museum of History and Culture A watching system for aged people using acoustic informations
Hiroyuki Nishi, Kin Kin, Yoshimasa Kimura, Toshio Kakinoki (Sojo Univ.) ICM2013-49 LOIS2013-53
It is expected that the percentage of elderly people aged 65 or more to the total population ( aging rate ) will be exce... [more] ICM2013-49 LOIS2013-53
pp.81-84
PRMU, SP, WIT 2010-10-08
10:00
Chiba   An abnormal sound detection method using multi-stage GMM for surveillance microphone
Akinori Ito, Akihito Aiba (Tohoku Univ.), Masashi Ito (Tohoku Inst. Tech.), Shozo Makino (TBGU) PRMU2010-88 SP2010-44 WIT2010-32
We have been developing a method for detecting abnormal sound events from audio signal recorded in real environments, wh... [more] PRMU2010-88 SP2010-44 WIT2010-32
pp.1-6
EA 2009-08-04
11:45
Miyagi   Detection of Abnormal Sound Using Multi-stage GMM and Segment Model
Akihito Aiba, Masashi Ito, Akinori Ito, Shozo Makino (Tohoku Univ.) EA2009-55
We propose an abnormal sound detection system for surveillance microphone. The system uses models for normal sounds prod... [more] EA2009-55
pp.71-75
 Results 1 - 8 of 8  /   
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