2 citations · 5 across the 7 of their papers we have counts for
7 papers · 1 filter
Multilingual Turn-taking Prediction Using Voice Activity Projection
Koji Inoue, Bing'er Jiang, Erik Ekstedt +2
This paper investigates the application of voice activity projection (VAP), a predictive turn-taking model for spoken dialogue, on multilingual data, encompassing English, Mandarin…
Evaluation of a semi-autonomous attentive listening system with takeover prompting
Haruki Kawai, Divesh Lala, Koji Inoue +2
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, wh…
Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue
Zi Haur Pang, Yahui Fu, Divesh Lala +3
In the realm of human-AI dialogue, the facilitation of empathetic responses is important. Validation is one of the key communication techniques in psychology, which entails recogni…
An Analysis of User Behaviors for Objectively Evaluating Spoken Dialogue Systems
Koji Inoue, Divesh Lala, Keiko Ochi +2
Establishing evaluation schemes for spoken dialogue systems is important, but it can also be challenging. While subjective evaluations are commonly used in user experiments, object…
Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection
Koji Inoue, Bing'er Jiang, Erik Ekstedt +2
A demonstration of a real-time and continuous turn-taking prediction system is presented. The system is based on a voice activity projection (VAP) model, which directly maps dialog…
Towards Objective Evaluation of Socially-Situated Conversational Robots: Assessing Human-Likeness through Multimodal User Behaviors
Koji Inoue, Divesh Lala, Keiko Ochi +2
This paper tackles the challenging task of evaluating socially situated conversational robots and presents a novel objective evaluation approach that relies on multimodal user beha…