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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Analysis and Subjective Labeling for Emotional Speech Database JTES Mai Yamanaka, Takashi Nose, Yuya Chiba, Akinori Ito (Tohoku Univ.)  SP2019-39 |
We have constructed JTES, a prosodic balanced emotional speech database containing 50 sentences of 4 emotions of 50 men ... [more] | SP2019-39 pp.61-66 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 16:25 |
Tokyo | NHK Science & Technology Research Labs. | An evaluation of representation learning using phoneme posteriorgrams and data augmentation in speech emotion recognition Shintaro Okada (Nagoya Univ.), Atsushi Ando (Nagoya Univ./NTT), Tomoki Toda (Nagoya Univ.) SP2019-43 |
This paper presents a new speech emotion recognition method based on representation learning and data augmentation. To ... [more] |
SP2019-43 pp.91-96 |
| SRW, SeMI, CNR (Joint) |
2019-11-05 16:10 |
Tokyo | Kozo Keisaku Engineering Inc. | [Invited Talk]
Robot AI Platform x "unibo" Toshikazu Kanaoka (Fujitsu) |
Fujitsu developed "robot AI platform" as a service platform providing natural communication between people and robots. T... [more] | |
| SP | 2019-08-28 17:00 |
Kyoto | Kyoto Univ. | Speech Emotion Classification based on Multi-Label Emotion Existence Estimation Atsushi Ando, Ryo Masumura, Hosana Kamiyama, Satoshi Kobashikawa, Yushi Aono (NTT) SP2019-16 |
This paper presents a novel speech emotion classification that addresses the ambiguous nature of emotions in speech. Mos... [more] | SP2019-16 pp.39-44 |
| NLC, IPSJ-ICS | 2019-06-21 15:40 |
Hiroshima | Hiroshima University of Economics (Tatemachi Campus) | Semi-Automatic Labeling for Emotion Classification with Deep Learning Kyosuke Masuda, Hiromitsu Nishizaki (Univ. of Yamanashi) NLC2019-5 |
We previously considered that the emotional classification method based on deep learning for tweets on social networking... [more] | NLC2019-5 pp.29-33 |
| TL | 2019-03-18 16:20 |
Tokyo | Waseda University | Examination of Emotion Estimation Technique of Driver Using Biomedical Signal Yusuke Shoji, Atsushi Ito, Hiroyuki Hatano (Utsunomiya Univ.) TL2018-64 |
In recent years, various driving support systems such as automatic braking and vehicle detection for preventing rear-end... [more] | TL2018-64 pp.77-81 |
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | Comparison and Translation of Facial Expression Perception based on Riemman metric Masashi Shinto, Chao Jinhui (Chuo Univ.) |
Facial expression recognition has been a major theme in researches of human-centric science and technology. An open ques... [more] | ||
| AI | 2018-12-07 15:55 |
Fukuoka | Toyoaki Kuwahara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-30 |
The emotion estimation by speech makes it possible to estimate with higher precision with the development of deep learni... [more] | AI2018-30 pp.25-29 |
|
| NLC, IPSJ-DC | 2018-09-06 10:10 |
Tokyo | Seikei University | An Evaluation Method for Estimating the Degree of Difficulty to Extract Writer's Emotion based on Response Time in Annotating Emotion Sanae Yamashita, Yasushi Kami (NIT, Akashi College), Eri Kato, Takeshi Sakai, Noriyuki Okumura (Otemae Univ.) NLC2018-9 |
This research examines the degree of difficulty in estimating emotions in Japanese short sentences based on the response... [more] | NLC2018-9 pp.1-6 |
| RCC, MICT | 2018-05-25 14:20 |
Tokyo | Tokyo Big Sight | Learning and recognition with neural network of heart beats sensed by WBAN for stress estimate for rehabilitation Yukihiro Kinjo, Yoshitomo Sakuma, Ryuji Kohno (YNU) RCC2018-21 MICT2018-21 |
In rehabilitation, approach according to personality is important. So we estimate patients' emotion by neural network(N... [more] |
RCC2018-21 MICT2018-21 pp.101-104 |
| HCS | 2018-03-13 13:25 |
Miyagi | Research Institute of Electrical Communication, Tohoku University | Characteristics of perceiving facial expressions during binocular rivalry in alexithymia Reo Takahashi, Jiro Gyoba (Tohoku Univ.) HCS2017-97 |
Alexithymia is a personality construct characterized by difficulties in identifying and describing emotions, and is asso... [more] | HCS2017-97 pp.23-28 |
| HPB (2nd) |
2018-02-21 16:15 |
Tokyo | Analysis of Tourist's Unconscious Gesture Toward Inner State Estimation During Sightseeing Yuta Takahashi (NAIST), Yuki Matsuda (NAIST/JSPS research fellow DC1), Dmitrii Fedotov (UULM), Yutaka Arakawa (NAIST/JST PRESTO), Wolfgang Minker (UULM), Keiichi Yasumoto (NAIST) |
As the demand for "smart tourism" increases, various tourism information becomes available, but the existing tourist inf... [more] | ||
| HCS | 2018-01-26 10:50 |
Kagoshima | Daiichi Institute of Technology | The effects of cultural view of the self on recognition of emotions through eyes or mouth Shinnosuke Ikeda (Univ. of Tokyo) HCS2017-67 |
Facial expressions provide primary cues for emotions. We are capable of making some facial expressions deliberately, eve... [more] | HCS2017-67 pp.7-12 |
| PRMU | 2017-10-12 10:00 |
Kumamoto | Research on Automatic Nervous State Estimation based on Time-Series Deep Learning Kanji Yamaguchi, Masayuki Kashima, Shinya Fukumoto, Kiminori Satou, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-64 |
[more] | PRMU2017-64 pp.7-12 |
|
| MBE | 2017-09-23 13:25 |
Nagano | National Institute of Technology, Nagano College | Detecting Emotional Suppression in the Presence of Disgust by Time Series Change of Cerebral Blood Flow using fNIRS Masahiro Honda, Hiroki Tanaka, Sakriani Sakti, Satoshi Nakamura (NAIST) MBE2017-35 |
A form of emotional suppression is defined as the conscious inhibition of emotional-expressive behaviors while emotional... [more] | MBE2017-35 pp.5-10 |
| SP | 2017-08-30 11:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Emotion Recognition in Speech Using Deep Neural Network Li ShiChuan, Tomoki Ishikawa, Masahiro Niitsuma, Keisuke Imoto, Yoichi Yamashita (Ritsumeikan Univ.) SP2017-24 |
Speech conveys not only linguistic information but also paralinguistic and non-linguistic information such as emotions，a... [more] | SP2017-24 pp.25-28 |
| HCS | 2017-08-20 13:40 |
Tokyo | Seikei University | Effectiveness of Presenting Emotion Recognition Information with Accuracy Information in Assisting Awareness Communication Shinichi Fukasawa, Hiroko Akatsu (OKI), Wakana Taguchi, Yutaka Takase, Yukiko Nakano (Seikei Univ.) HCS2017-48 |
We examined the effectiveness of presenting emotion recognition information with accuracy information for assisting awar... [more] | HCS2017-48 pp.7-12 |
| SP, IPSJ-SLP (Joint) |
2017-07-27 14:30 |
Miyagi | Akiu Resort Hotel Crescent | [Invited Talk]
Synthesis, Recognition and Conversion of Various Speech Using Deep Learning and Their Applications Takashi Nose (Tohoku Univ.) SP2017-16 |
This paper focuses on synthesis, recognition and conversion of various speech in the speech processing using deep learni... [more] | SP2017-16 pp.3-8 |
| MBE, NC (Joint) |
2017-05-26 14:15 |
Toyama | Toyama Prefectural Univ. | Frequency Filter Networks on EEG Data for Emotion Analysis Miku Yanagimoto, Chika Sugimoto, Tomoharu Nagao (YNU) NC2017-4 |
In EEG-based emotion recognition (EEG-ER), enhancing feature extractors is often difficult. In such cases, the use of ... [more] |
NC2017-4 pp.19-24 |
| WIT, IPSJ-AAC | 2017-03-11 15:00 |
Ibaraki | Tsukuba University of Technology (Kasuga Campus) | Reminiscence Therapy Based Communication System Between Elderly Person Living Alone and his/her Family Masashi Hata, Tetuya Matumoto (Nagoya Univ.), Yoshinori Takeuti (Daido Univ.), Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) WIT2016-91 |
We use reminiscence therapy (RT) for an elderly people living alone to increase a chance to have a conversation and to p... [more] | WIT2016-91 pp.129-134 |
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