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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Binarization of Vision Transformer with Scaling Factors Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS)  PRMU2022-83 IBISML2022-90 |
1bit neural network optimization is an optimization technique that achieves a significant increase in computational spee... [more] | PRMU2022-83 IBISML2022-90 pp.134-139 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 09:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
End-to-End Speech Synthesis Based on Articulatory Movements Captured by Real-time MRI Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. Sci.) EA2022-77 SIP2022-121 SP2022-41 |
We propose an end-to-end deep learning model for speech synthesis based on articulatory movements captured by real-time ... [more] | EA2022-77 SIP2022-121 SP2022-41 pp.13-18 |
| SP, WIT, IPSJ-SLP [detail] | 2022-10-22 15:40 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Conformer based early fusion model for audio-visual speech recognition Nobukazu Aoki, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. of Sci.) SP2022-28 WIT2022-3 |
Previous studies of late fusion models with conformer encoders use independent encoders for both visual and audio inform... [more] | SP2022-28 WIT2022-3 pp.8-13 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 17:10 |
Online | Online | A Vocoder-free Any-to-Many Voice Conversion using Pre-trained vq-wav2vec Takeshi Koshizuka, Hidefumi Ohmura, Kouichi Katsurada (TUS) EA2020-89 SIP2020-120 SP2020-54 |
Voice conversion (VC) is a technique that converts speaker-dependent non-linguistic information to another speaker's one... [more] | EA2020-89 SIP2020-120 SP2020-54 pp.176-181 |
| WIT, SP | 2019-10-27 09:00 |
Kagoshima | Daiichi Institute of Technology | Extraction of linguistic representation and syllable recognition from EEG signal of speech-imagery Kentaro Fukai, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. of Science), Satoka Hirata, Yurie Iribe (Aichi Prefectural Univ.), Mingchua Fu, Ryo Taguchi (Nagoya Inst. of Technology), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Technology) SP2019-28 WIT2019-27 |
Speech imagery recognition from Electroencephalogram (EEG) is one of the challenging technologies for non-invasive brain... [more] | SP2019-28 WIT2019-27 pp.63-68 |
| AI | 2017-06-01 15:00 |
Tokyo | Waseda Univ. | Investigation of computational relationships between tonal and chromatic mood Hidefumi Ohmura (Tokyo Univ. of Science), Masahide Yuasa (Shonan Institute of Technology), Ryu Nakagawa (Nagoya City Univ.) AI2017-4 |
Both sounds and colors do not create concrete objects. However, when human perceives them, he/she hold some feelings. Wh... [more] | AI2017-4 pp.19-22 |
| HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama | Toyama International Conference Center | Controlling mood by local behavior of listening agents Misaki Nakamura, Kazuki Kobayashi (Shinshu Univ.), Masahide Yuasa (Shonan Institute of Technology), Hidefumi Ohmura (Tokyo University of Science), Daisuke Katagami (Tokyo Polytechnic Univ.), Takahiro Tanaka (Nanogya Univ.) |
In this paper, we investigate moods that users perceived by small local group behavior in listening agents. We propose a... [more] | |
| HCGSYMPO (2nd) |
2014-12-17 - 2014-12-19 |
Yamaguchi | Kaikyo Messe Shimonoseki | What Creates a Pleasant Mood?
-- Development of an Information Model to Create a Good Mood -- Masahide Yuasa (Shonan Institute of Tech.), Hidefumi Ohmura (National Center of Neurology and Psychiatry), Daisuke Katagami (Tokyo Polytechnic Univ.) |
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