rrSDS: Towards a Robot-ready Spoken Dialogue System

Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, David McNeill


Abstract
Spoken interaction with a physical robot requires a dialogue system that is modular, multimodal, distributive, incremental and temporally aligned. In this demo paper, we make significant contributions towards fulfilling these requirements by expanding upon the ReTiCo incremental framework. We outline the incremental and multimodal modules and how their computation can be distributed. We demonstrate the power and flexibility of our robot-ready spoken dialogue system to be integrated with almost any robot.
Anthology ID:
2020.sigdial-1.17
Volume:
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
July
Year:
2020
Address:
1st virtual meeting
Editors:
Olivier Pietquin, Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
132–135
Language:
URL:
https://aclanthology.org/2020.sigdial-1.17
DOI:
10.18653/v1/2020.sigdial-1.17
Bibkey:
Cite (ACL):
Casey Kennington, Daniele Moro, Lucas Marchand, Jake Carns, and David McNeill. 2020. rrSDS: Towards a Robot-ready Spoken Dialogue System. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 132–135, 1st virtual meeting. Association for Computational Linguistics.
Cite (Informal):
rrSDS: Towards a Robot-ready Spoken Dialogue System (Kennington et al., SIGDIAL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.sigdial-1.17.pdf