Feb. 26, 2024, 5:48 a.m. | Haruki Kawai, Divesh Lala, Koji Inoue, Keiko Ochi, Tatsuya Kawahara

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.14863v1 Announce Type: new
Abstract: The handling of communication breakdowns and loss of engagement is an important aspect of spoken dialogue systems, particularly for chatting systems such as attentive listening, where the user is mostly speaking. We presume that a human is best equipped to handle this task and rescue the flow of conversation. To this end, we propose a semi-autonomous system, where a remote operator can take control of an autonomous attentive listening system in real-time. In order to …

abstract arxiv autonomous communication cs.cl dialogue engagement evaluation human loss prompting speaking spoken systems type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain