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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ET | 2021-09-10 13:15 |
Online | Online | Predicting Code Reading Test Answers by Using Eye Movement Features YUE YAN, Minoru Nakayama (Tokyo Tech)  ET2021-11 |
Code reading comprehension progress has been shown to distribute in the eye movement data, which makes predict the code ... [more] | ET2021-11 pp.17-22 |
| SANE | 2021-08-27 11:05 |
Online | Online | Satellite Data Fusion for damage assessment and analysis of the significant features Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29 |
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] | SANE2021-29 pp.37-42 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-29 13:55 |
Online | Online | Proposal of an Analysis Method for fNIRS Using Machine Learning Reiji Ohkuma, Yuto Kurihara, Rieko Osu (Waseda Univ.) NC2021-13 IBISML2021-13 |
Conventional analysis methods for fNIRS require a large number of parameters in preprocessing, and the analysis results ... [more] | NC2021-13 IBISML2021-13 pp.91-96 |
| 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 |
| CW (2nd) |
2021-03-04 | Chiba | (Primary: On-site, Secondary: Online) |
Detecting Features for a Music Recognition System Yuya Tanaka, Shusuke Okamoto, Shinji Sakamoto (Seikei Univ.) |
The music recognition system is a system that inputs an audio file and outputs its metadata such as music title, and a s... [more] | |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 15:40 |
Online | Online | Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] | |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 16:15 |
Online | Online | A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] | |
| 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 |
| EA, ASJ-H, EMM | 2020-11-20 13:30 |
Online | Online | [Poster Presentation]
Improved accuracy of QR code authenticity judgment algorithm Kengo Sato (TUS), Kitahiro Kaneda (OPU), Keiichi Iwamura (TUS) EA2020-43 EMM2020-58 |
E-mail: †{sato_kengo, kaneda}@sec.ee.kagu.tus.ac.jp, ‡iwamura@ee.kagu.tus.ac.jp Abstract Currently, the distribution... [more] |
EA2020-43 EMM2020-58 pp.117-122 |
| PRMU, IPSJ-CVIM | 2020-05-14 13:30 |
Online | Online | Human Action Recognition with Two-stream 3D BagNet Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-3 |
We propose the Two-stream 3D BagNet for the human action recognition task. The proposed architecture is inspired by the ... [more] | PRMU2020-3 pp.13-17 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 10:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Comparison Study of Neural Sign Language Translation Methods with Spatio-Temporal Features Kodai Watanabe, Wataru Kameyama (Waseda Univ.) IMQ2019-68 IE2019-150 MVE2019-89 |
In Neural Sign Language Translation, a model based on 2DCNN (2 Dimensional Convolutional Neural Network) called AlexNet ... [more] | IMQ2019-68 IE2019-150 MVE2019-89 pp.273-278 |
| BioX, CNR | 2020-03-04 18:00 |
Tokyo | (Cancelled but technical report was issued) |
Studies on Biometrics Authentication by Behavioral Features at Flick Input Wataru motoyama, Shinnya Fukumoto, Masayuki Kashima (Kagoshima Univ.), Kiminori Sato (TUT), Mutsumi Watanabe (Kagoshima Univ.) BioX2019-68 CNR2019-51 |
As the penetration rate of smartphones increases, the importance of secrecy in personal authentication is increasing. In... [more] | BioX2019-68 CNR2019-51 pp.35-40 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
High-precision modeling of distortion stomp box by deep learning using spectral features Kento Yoshimoto, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2019-124 SIP2019-126 SP2019-73 |
We propose a method for modeling distortion stomp box with high accuracy using a deep neural network, WaveNet. The conve... [more] | EA2019-124 SIP2019-126 SP2019-73 pp.135-140 |
| 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 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Initial analysis of oral reading skills obtained from large scale subjective evaluation Takuya Ozuru (Univ. of Tokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) EA2019-135 SIP2019-137 SP2019-84 |
Speech of professional newscasters easily suggest us his/her occupation, that is newscaster. So far, we have analyzed pr... [more] | EA2019-135 SIP2019-137 SP2019-84 pp.195-200 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 16:35 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] | |
| MI | 2020-01-30 15:10 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120 |
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] | MI2019-120 pp.235-236 |
| EA, US (Joint) |
2020-01-22 14:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
Speech features obtained from similarities between the input and output of a DNN-based VAD. Nozomi Shigaraki, Kei Yamamori (Kanazawa Univ.), Suci Dwijayanti (Sriwijaya Univ.), Masato Miyoshi (Kanazawa Univ.) EA2019-95 |
We have been studying Voice activity detection (VAD) using a deep neural network (DNN). Log power spectra (LPS) and Spee... [more] | EA2019-95 pp.67-72 |
| KBSE, SC | 2019-11-09 11:30 |
Nagano | Shinshu University | Common Feature Elements of Business Model Notations Using Interrogatives Shuichiro Yamamoto (Nagoya Univ.) KBSE2019-35 SC2019-32 |
In this paper, focusing on the classification of business model questions, we propose a unified method for comparing var... [more] | KBSE2019-35 SC2019-32 pp.71-76 |
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