ISCA Archive Interspeech 2021
ISCA Archive Interspeech 2021

Dialogue Situation Recognition for Everyday Conversation Using Multimodal Information

Yuya Chiba, Ryuichiro Higashinaka

In recent years, dialogue systems have been applied to daily living. Such systems should be able to associate conversations with dialogue situations, such as a place where a dialogue occurs and the relationship between participants. In this study, we propose a dialogue situation recognition method that understands the perspective of dialogue scenes. The target dialogue situations contain dialogue styles, places, activities, and relations between participants. We used the Corpus of Everyday Japanese Conversation (CEJC), which records natural everyday conversations in various situations for experiments. We experimentally verified the effectiveness of our proposed method using multimodal information for situation recognition.


doi: 10.21437/Interspeech.2021-171

Cite as: Chiba, Y., Higashinaka, R. (2021) Dialogue Situation Recognition for Everyday Conversation Using Multimodal Information. Proc. Interspeech 2021, 241-245, doi: 10.21437/Interspeech.2021-171

@inproceedings{chiba21_interspeech,
  author={Yuya Chiba and Ryuichiro Higashinaka},
  title={{Dialogue Situation Recognition for Everyday Conversation Using Multimodal Information}},
  year=2021,
  booktitle={Proc. Interspeech 2021},
  pages={241--245},
  doi={10.21437/Interspeech.2021-171}
}