no code implementations • LREC 2022 • Michimasa Inaba, Yuya Chiba, Ryuichiro Higashinaka, Kazunori Komatani, Yusuke Miyao, Takayuki Nagai
This paper provides details of the dialogue task, the collection procedure and annotations, and the analysis on the characteristics of the dialogues and facial expressions focusing on the age of the speakers.
no code implementations • EMNLP (NLP4ConvAI) 2021 • Ao Guo, Atsumoto Ohashi, Ryu Hirai, Yuya Chiba, Yuiko Tsunomori, Ryuichiro Higashinaka
Endowing a task-oriented dialogue system with adaptiveness to user personality can greatly help improve the performance of a dialogue task.
1 code implementation • 11 Sep 2021 • Hiroaki Sugiyama, Masahiro Mizukami, Tsunehiro Arimoto, Hiromi Narimatsu, Yuya Chiba, Hideharu Nakajima, Toyomi Meguro
In recent years, several high-performance conversational systems have been proposed based on the Transformer encoder-decoder model.
no code implementations • LREC 2020 • Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito
To facilitate research of such dialog systems, we are currently constructing a large-scale multimodal dialog corpus focusing on the relationship between speakers.
no code implementations • WS 2018 • Yuya Chiba, Takashi Nose, Taketo Kase, Mai Yamanaka, Akinori Ito
This paper explores the effect of emotional speech synthesis on a spoken dialogue system when the dialogue is non-task-oriented.
no code implementations • WS 2018 • Yukiko Kageyama, Yuya Chiba, Takashi Nose, Akinori Ito
In this paper, we conduct dialog experiments and show that controlling the form of system utterances can improve the users{'} impression.