Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Yukiko I. Nakano"'
Autor:
Fumio Nihei, Yukiko I. Nakano
Publikováno v:
Multimodal Technologies and Interaction, Vol 3, Iss 3, p 50 (2019)
Meeting minutes are useful, but creating meeting summaries are a time consuming task. Aiming at supporting such task, this paper proposes prediction models for important utterances that should be included in the meeting summary by using multimodal an
Externí odkaz:
https://doaj.org/article/be07acaa420547e6b589f577498cef1e
Autor:
Atsushi Ito, Yukiko I. Nakano, Fumio Nihei, Tatsuya Sakato, Ryo Ishii, Atsushi Fukayama, Takao Nakamura
Publikováno v:
Journal of Information Processing. 31:34-44
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Journal on Multimodal User Interfaces.
The automatic estimation of personality traits is essential for many human–computer interface (HCI) applications. This paper focused on improving Big Five personality trait estimation in group discussions via multimodal analysis and transfer learni
Publikováno v:
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION.
Autor:
Yukiko I. Nakano, Jie Zeng
Publikováno v:
Journal of Natural Language Processing. 28:598-631
Autor:
Atsushi Ito, Yukiko I. Nakano, Fumio Nihei, Tatsuya Sakato, Ryo Ishii, Atsushi Fukayama, Takao Nakamura
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Autor:
Fumio Nihei, Yukiko I. Nakano
Publikováno v:
ICMI
Running an embodied conversation agent (ECA) on a client–server model has the following advantages: 1) the experimenter need not bring a computer with installing the ECA to the experimental site, 2) the user need not own a high-performance computer
Publikováno v:
ICMI
Providing feedback to a speaker is an essential communication signal for maintaining a conversation. In specific feedback, which indicates the listener's reaction to the speaker?s utterances, the facial expression is an effective modality for conveyi
Publikováno v:
IVA
To realize natural-looking virtual agents, one key technical challenge is to automatically generate nonverbal behaviors from spoken language. Since nonverbal behavior varies depending on personality, it is important to generate these nonverbal behavi