Multimodal Spoken Dialogue System with Biosignals

Shun Katada


Abstract
The dominance of large language models has forced the transformation of research directions in many domains. The growth speed of large-scale models and the knowledge acquired have reached incredible levels. Thus, researchers must have the ability and foresight to adapt to a rapidly changing environment. In this position paper, the author introduces research interests and discusses their relationships from the perspective of spoken dialogue systems. In particular, the fields of multimodal processing and affective computing are introduced. Additionally, the effects of large language models on spoken dialogue systems research and topics for discussion are presented.
Anthology ID:
2024.yrrsds-1.11
Volume:
Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems
Month:
September
Year:
2024
Address:
Kyoto, Japan
Editors:
Koji Inoue, Yahui Fu, Agnes Axelsson, Atsumoto Ohashi, Brielen Madureira, Yuki Zenimoto, Biswesh Mohapatra, Armand Stricker, Sopan Khosla
Venues:
YRRSDS | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
30–31
Language:
URL:
https://aclanthology.org/2024.yrrsds-1.11
DOI:
Bibkey:
Cite (ACL):
Shun Katada. 2024. Multimodal Spoken Dialogue System with Biosignals. In Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 30–31, Kyoto, Japan. Association for Computational Linguistics.
Cite (Informal):
Multimodal Spoken Dialogue System with Biosignals (Katada, YRRSDS-WS 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.yrrsds-1.11.pdf