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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
16:20
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Impression of Character's Responding Behavior Corresponding to User's Speech Proactiveness
Naoki Matsumura, Tomoko Yonezawa (Kansai Univ.) IMQ2023-51 IE2023-106 MVE2023-80
This study aimed to improve speech proactivity in foreign-language face-to-face dialogue. We have examined a system to e... [more] IMQ2023-51 IE2023-106 MVE2023-80
pp.208-213
HIP, HCS, HI-SIGCOASTER [detail] 2023-05-15
10:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Cognitive Load Estimation of Speech-in-Noise Recall Task with State-Space Models
Mateusz Dubiel (uni.lu), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) HCS2023-7 HIP2023-7
Cognitive workload during a listening and recall task was estimated using a state-space model based on metrics of pupill... [more] HCS2023-7 HIP2023-7
pp.29-32
MVE, IPSJ-CVIM, VRSJ-SIG-MR 2023-01-27
16:30
Nara Nara Institute of Science and Technology
(Primary: On-site, Secondary: Online)
Validation of an Evaluation Model on Speech Proactiveness in Foreign Language Conversation with a Virtual Character in an RPG
Naoki Matsumura, Tomoko Yonezawa (Kansai Univ.) MVE2022-45
In this study, we aim to improve the speech proactiveness in face-to-face foreign language dialogues. We have evaluated ... [more] MVE2022-45
pp.60-65
TL 2022-11-27
10:00
Yamagata Yamagata University Schizophrenia at the crossroads of thought, language and communication
Francesco Cangemi (Univ. of Cologne) TL2022-23
Can metrics extracted from recorded conversations serve as markers for different manifestations of schizophrenia? This s... [more] TL2022-23
pp.25-29
ET 2022-11-05
15:20
Online Online Estimation and Visualization of Learning Types for Class Dialogues Using Neural Network Model
Sakuei Onishi, Hiromitsu Shiina (Okayama Unisersity of Science), Tomohiko Yasumori (Okayama Univ. of Science) ET2022-38
In elementary school classes, lesson inspection activities have been conducted to improve classes, and feedback is impor... [more] ET2022-38
pp.47-54
MVE 2022-09-08
15:00
Tokyo
(Primary: On-site, Secondary: Online)
Gamified English Conversation Learning System with Characters -- Gesture Scoring in Simulated Face-to-Face Communication Phase --
Naoki Matsumura, Tomoko Yonezawa (Kansai Univ.) MVE2022-11
In this study, we focused on speech proactivity evaluation in foreign language conversation with virtual characters in w... [more] MVE2022-11
pp.9-14
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-04
14:00
Online Online An experimental comparison of CNN- and CRNN-CTC for automatic phrase speech recognition systems using a children's speech database
Yunzhe Wang, Yu Tian (Hokkaido Univ.), Yoshikazu Miyanaga (CIST), Hiroshi Tsutsui (Hokkaido Univ.) SIS2020-9
Children's speech recognition is still a challenging issue. In the case of children's speeches, the accuracy of conventi... [more] SIS2020-9
pp.49-54
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
WIT, SP 2019-10-27
10:30
Kagoshima Daiichi Institute of Technology A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition
Hidetoshi Nagai (KIT) SP2019-32 WIT2019-31
In inaudible speech recognition using surface EMG, consonant recognition is one of the difficult problems. When phonemes... [more] SP2019-32 WIT2019-31
pp.87-92
HCS 2019-08-24
13:00
Osaka Jikei Institute Relationship of speech activity to subjective ratings and task performance during a divergent creative problem solving task involving communication among three people
Takashi Numata (Hitachi), Sae Kondo (UTokyo), Taichi Miyamae, Hiroyuki Sekikawa, Karen Sasagawa, Shiori Onodera, Masaaki Kuzuya (Itoki), Kotaro Onishi, Hiroko Ohno (House Foods), Masako Maeda, Chikako Goto, Hideki Koizumi (UTokyo) HCS2019-37
In order to support creative problem solving, we aim to develop a support system for creative problem solving during gro... [more] HCS2019-37
pp.43-48
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Investigation of Brain Magnetic Fields Associated with Sound Imagery -- Speech and Pure Tone with Similar Envelopes --
Shihomi Uzawa (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Yoshiharu Soeta (AIST), Seiji Nakagawa (Chiba Univ./AIST) EA2017-115 SIP2017-124 SP2017-98
Brain computer interface (BCI) technologies, which enable direct communication between the brain and external devices, h... [more] EA2017-115 SIP2017-124 SP2017-98
pp.81-86
MBE, NC
(Joint)
2018-03-14
13:10
Tokyo Kikai-Shinko-Kaikan Bldg. Silent Japanese Single Syllable Recognition using Similarities of Muscular Activity Transitions between EMG Channels
Hidetoshi Nagai (Kyutech) MBE2017-104
In inaudible speech recognition based on surface EMG, recognition of consonants is one of the important tasks. When utte... [more] MBE2017-104
pp.119-124
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Proposal of Real-time Reading Support System
Koichi Koyasu, Anna Yokokubo, Guillaume Lopez (Aoyama Gakuin Univ.)
Reading is established as a Japanese culture, and it is also an important educational activity in kindergartens, nursery... [more]
SIS 2017-06-02
11:10
Oita Housen-Sou (Beppu) Transient noise reduction using linear prediction and noise activity detection based on high order statistics
Yuto Yoneyama, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) SIS2017-15
We proposed a noise reduction method for a wideband component in transient noise superposed on speech. This method reduc... [more] SIS2017-15
pp.77-82
SP, SIP, EA 2017-03-01
10:25
Okinawa Okinawa Industry Support Center Noisy speech reconstruction based on deep neural network with optical microphone
Tomoyuki Mizuno, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-84 SIP2016-139 SP2016-79
Measuring distant-talking speech with high accuracy is important for detecting criminal activity. Various microphones su... [more] EA2016-84 SIP2016-139 SP2016-79
pp.13-18
ET 2016-12-10
13:45
Osaka Kindai University Reading Position Detection using Reading Aloud Voice including Misreadings and Noises -- Reading Activity Understanding in Japanese Text Presentation System --
Shu Aoki, Shuichi Tashiro, Kyota Aoki, Koji Harada (Utsunomiya Univ.) ET2016-71
A teacher in a normal class must instruct a large number of pupils alone. It is difficult to teach pupil individually. T... [more] ET2016-71
pp.27-32
EA, SP, SIP 2016-03-29
11:35
Oita Beppu International Convention Center B-ConPlaza [Invited Talk] An overview of the 2015 Jelinek workshop on speech and language technology
Marc Delcroix (NTT) EA2015-129 SIP2015-178 SP2015-157
Recently, Automatic speech recognition (ASR) systems have been successfully deployed in many mobile devices. However, th... [more] EA2015-129 SIP2015-178 SP2015-157
pp.353-354
SP 2015-10-16
11:15
Hyogo Kobe Univ. Multi-modal speech recognition using deep bottleneck features
Satoshi Tamura (Gifu Univ), Hiroshi Ninomiya (Nagoya Univ), Norihide Kitaoka (Tokushima Univ), Shin Osuga (Aisin Seiki), Yurie Iribe (Aichi Prefectural Univ), Kazuya Takeda (Nagoya Univ), Satoru Hayamizu (Gifu Univ) SP2015-69
In this paper, we propose a novel multi-modal speech recognition method which uses speech and lip images, employing Deep... [more] SP2015-69
pp.57-62
ET 2015-06-06
13:50
Mie Faculty of Engineering, Mie Univ. User's Activity Understanding Using Speech Recognition of Reading Aloud Voice in Japanese Text Presentation System
Shu Aoki, Shuichi Tashiro, Kyota Aoki, Shinjiro Murayama, Koji Harada (Utsunomiya Univ.) ET2015-17
A teacher in a normal class must instruct a large number of pupils alone. It is difficult to tutor each pupil. This pape... [more] ET2015-17
pp.37-42
HCS, HIP, HI-SIGCOASTER [detail] 2015-05-20
15:15
Okinawa Okinawa Industry Support Center A Method to Detect Inaudible Phoneme Boundary based on Transition of Wavelets' Center-of-Balance and its Application to Inaudible Continuous Speech Recognition
Hidetoshi Nagai, Saki Kanaida, Teigo Nakamura (Kyutech) HCS2015-38 HIP2015-38
We research on inaudible speech recognition with surface EMG. On a natural speech, a speaker changes his mouth shape con... [more] HCS2015-38 HIP2015-38
pp.249-254
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