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Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT, SP, IPSJ-SLP [detail] 2023-10-14
16:40		 Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)		 Sequence-to-sequence Voice Conversion for Electrolaryngeal Speech Enhancement with Multi-stage Pretraining and Fine-tuning Techniques
Ding Ma, Lester Phillip Violeta, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-32 WIT2023-23		 Sequence-to-sequence (seq2seq) voice conversion (VC) models have great potential for electrolaryngeal (EL) speech to nor... [more] SP2023-32 WIT2023-23
pp.27-32
SIS, IPSJ-AVM [detail] 2023-06-15
11:35		 Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)		 Detection of Calcification Regions from Dental Panoramic Radiograph Based on Semantic Segmentation Using Transformers
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-3		 Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] SIS2023-3
pp.13-18
SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS 2022-05-27
10:08		 Okinawa
(Primary: On-site, Secondary: Online)		 Experiment for indoor positioning system based on retraining method of signal strength
Masaaki Yamamoto, Hiromitsu Nakagawa, Shigenori Matsumoto, Hiroyuki Kuriyama (Hitachi) SeMI2022-11		 Covid-19 is continuing to spread around the world. Office workers therefore work in several sites to balance work and pr... [more] SeMI2022-11
pp.49-52
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-27
09:30		 Online Online Retraining method of signal strength based model for indoor positioning
Masaaki Yamamoto, Hiroyuki Kuriyama, Kenji Nagamatsu (Hitachi) SeMI2021-1		 Covid-19 is continuing to spread around the world. Office workers therefore work in several sites to balance work and pr... [more] SeMI2021-1
pp.1-4
IN 2018-01-23
11:15		 Aichi WINC AICHI Retraining anomaly detection model using Autoencoder
Yasuhiro Ikeda, Keisuke Ishibashi, Yusuke Nakano, Keishiro Watanabe, Ryoichi Kawahara (NTT) IN2017-84		 An autoencoder has been attracting much attention as an anomaly detection algorithm.
The autoencoder enables unsupervis... [more]		 IN2017-84
pp.77-82
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