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 Results 1 - 20 of 85  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, ICSS 2022-06-23
Nagasaki Univ. of Nagasaki
(Primary: On-site, Secondary: Online)
Development and Evaluation of Indoor Activity Tracking System Using Sensor Fusion with Audio and 3D Point Cloud Observation
Mana Nishigaki, Hiroshi Yamamoto (Ritsumei Univ.) IA2022-7 ICSS2022-7
With the current spread of COVID-19, there has been a growing interest in monitoring behavior of people to control the s... [more] IA2022-7 ICSS2022-7
MSS, NLP 2022-03-28
Online Online Knowledge Extraction from Physical and Human Sensors in Smart Agriculture -- Preliminary experiments with planter cultivation data --
Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST) MSS2021-63 NLP2021-134
One of the most promising approaches to increasing agricultural efficiency is the use of the agricultural Internet of Th... [more] MSS2021-63 NLP2021-134
HCS 2022-03-12
Online Online Evaluation of Feedback Methods for Speakers in Speech Rate Converted Conversation
Tamami Mizuta, Hiroko Tokunaga, Naoki Mukawa, Hiroto Saito (Tokyo Denki Univ.) HCS2021-70
This study clarifies the characteristics of voice feedback and visual feedback, which are support functions for speakers ... [more] HCS2021-70
- 2021-12-17
Online Online The effectiveness of a voice-based mental health evaluation method in the Web meeting systems
Noriaki Sonota, Masakazu Higuchi, Mitsuteru Nakamura, Yasuhiro Omiya, Shuji Shinohara (UTokyo), Takeshi Takano (PST), Eiji Takayama (Asahi Univ.), Shunji Mitsuyoshi, Shinichi Tokuno (UTokyo)
The authors have previously conducted studies on a technology that allows the estimation of mental state based on the vo... [more]
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
Online Online [Poster Presentation] Psychological evaluation of popping-out voice quality
Takashi Nakao, Tatsuya Kitamura (Konan Univ.) EA2020-72 SIP2020-103 SP2020-37
The present study evaluated the "popping-out" voice quality through auditory tests using a semantic differential method.... [more] EA2020-72 SIP2020-103 SP2020-37
(Joint) [detail]
Online Online Examination of voice input and treatment detection by video analysis for endoscopic findings creation support
Chihiro Takigami, Mai Fujie (Chiba Univ.), Yuichiro Yoshimura (Toyama Univ.), Toshiya Nakaguchi (Chiba Univ.) IMQ2020-12 IE2020-52 MVE2020-44
Currently, endoscopy findings are mainly recorded by manual entry after the examination, which is burdensome due to the ... [more] IMQ2020-12 IE2020-52 MVE2020-44
ICSS, IPSJ-SPT 2021-03-02
Online Online Developing an Interactive Analysis System for Voice Assistant Apps
Atsuko Natatsuka (Waseda Univ.), Ryo Iijima (Waseda Univ./NICT), Takuya Watanabe, Mitsuaki Akiyama (NTT), Tetsuya Sakai (Waseda Univ.), Tatsuya Mori (Waseda Univ./NICT) ICSS2020-48
In Voice Assistant Services, official or third-party Voice Assistant Apps (VA apps) are provided. Since a VA app works a... [more] ICSS2020-48
AI 2020-02-14
Shimane Izumo Campus, Shimane University Quine's Philosophy concerning Analysis and Synthesis of Data -- Reflecting "Two Dogmas of Empiricism" from a Modern Perspective --
Makoto Koike (MK Microwave) AI2019-47
Although“Two Dogmas of Empiricism” by Quine relates to metaphysics such as empiricism and analytical philosophy, its ess... [more] AI2019-47
SeMI 2020-01-31
Kagawa   Proposal and Initial Evaluation of Refrigerator Door Identification Method Using Door Opening and Closing Sound
Yudai Mitsukude, Kenta Hayashi, Shigemi Ishida, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-115
In recent years, the development of sensing technology has enabled sensing in various situations.IoT products have been ... [more] SeMI2019-115
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]
WIT, SP 2019-10-26
Kagoshima Daiichi Institute of Technology Application of interactive and real-time tools to acoustic analysis for assessment of dysphonia
Hideki Kawahara (Wakayama Univ.), Ken-Ichi Sakakibara (Health Science Univ. Hokkaido), Kenta Wakasa (ATLUS), Hiroko Terasawa (Univ. Tsukuba) SP2019-24 WIT2019-23
We introduce a real-time and interactive tool for visualizing voice-source attributes. The tool provides a simplified ca... [more] SP2019-24 WIT2019-23
CNR 2019-08-29
Hokkaido   Analysis of the effect of multiple conversational robots with gestures on user stress using salivary amylase activity measurement.
Kota Maruyama, Junji Yamato (Kogakuin Univ.), Hiroaki Sugiyama (NTT) CNR2019-14
When conducting a human conversation, it is possible to know the person's state and attitude to some extent from not onl... [more] CNR2019-14
NLC, IPSJ-IFAT 2019-02-07
Kyoto Ryukoku University Omiya Campus [Invited Talk] ForeSight Voice Mining, a voice mining system for contact centers
Kazuhiro Arai (NTT-TX) NLC2018-40
This paper describes ForeSight Voice Mining that NTT TechnoCross Corp. provides for contact centers. ForeSight Voice Min... [more] NLC2018-40
MSS, SS 2019-01-16
Okinawa   Agricultural Knowledge Management Using Smart Voice Messaging Systems -- Trial Experiment at Greenhouse Vegetable Farm --
Naoshi Uchihira (JAIST), Masami Yoshida (Agrisensing) MSS2018-77 SS2018-48
The use of the Internet of Things (IoT) in agricultural knowledge management systems is one of the most promising approa... [more] MSS2018-77 SS2018-48

Mie Sinfonia Technology Hibiki Hall Ise Effectiveness of voice-based mental health evaluation indicator in estimating depression
Masakazu Higuchi, Mitsuteru Nakamura, Shuji Shinohara (UT), Yasuhiro Omiya, Naoki Hagiwara, Takeshi Takano (PST), Hiroyuki Toda, Taku Saito, Aihide Yoshino (NDMC), Shunji Mitsuyoshi, Shinichi Tokuno (UT)
The authors have previously conducted studies on a technology that allows us to estimate mental state based on a voice. ... [more]

Mie Sinfonia Technology Hibiki Hall Ise An attempt to distinguish between major depression and bipolar disease by voice
Yasuhiro Omiya, Maya Kuroda, Takeshi Takano, Tomotaka Uraguchi (PST), Shuji Shinohara, Mitsuteru Nakamura, Masakazu Higuchi, Shunji Mitsuyoshi (UTokyo), Taku Saito, Hiroyuki Toda, Aihide Yoshino (NDMC), Shinichi Tokuno (UTokyo)
Mental health disorder has become a social problem in many advanced countries, and various countermeasures and screening... [more]
PRMU, SP 2018-06-28
Nagano   Multimodal voice conversion using deep bottleneck features and deep canonical correlation analysis
Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu (Gifu Univ.), Tomoki Toda (Nagoya Univ.) PRMU2018-24 SP2018-4
In this paper, we aim at improving the speech quality in voice conversion and propose a novel multi-modal voice conversi... [more] PRMU2018-24 SP2018-4
PRMU, SP 2018-06-29
Nagano   Analysis of speech-to-texture sentiment association characteristics
Win Thuzar Kyaw, Yoshinori Sagisaka (Waseda Univ.) PRMU2018-30 SP2018-10
Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded i... [more] PRMU2018-30 SP2018-10
WIT 2018-06-09
Kanagawa   Usage status analysis of web-based versatile communication support system VCAN
Hinako Sugiyama, Toyohiko Hayashi, Mieko Iriyama (Niigata Univ.), Nariyasu Fujikawa, Satoru Kawabe, Takashi Goto (Ginzado Ltd.) WIT2018-5
Voice-output communication aid (VOCA) is one of the assistive devices supporting communication of children with speech d... [more] WIT2018-5
(Joint) [detail]
Okinawa   [Poster Presentation] Acoustic analysis of speech for emergency speech detection of voicemail
Matsuto Hori (Meiji Univ.), Hosana Kamiyama, Satoshi Kobashikawa (NTT), Shigeki Sagayama (Meiji Univ.) EA2017-112 SIP2017-121 SP2017-95
In this paper, we investigate the effectiveness of acoustic features for detecting urgency in voicemail. In previous res... [more] EA2017-112 SIP2017-121 SP2017-95
 Results 1 - 20 of 85  /  [Next]  
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