2 citations · 2 across the 8 of their papers we have counts for
7 papers · 1 filter
Multilingual and Continuous Backchannel Prediction: A Cross-lingual Study
Koji Inoue, Mikey Elmers, Yahui Fu +5
We present a multilingual, continuous backchannel prediction model for Japanese, English, and Chinese, and use it to investigate cross-linguistic timing behavior. The model is Tran…
Prompt-Guided Turn-Taking Prediction
Koji Inoue, Mikey Elmers, Yahui Fu +4
Turn-taking prediction models are essential components in spoken dialogue systems and conversational robots. Recent approaches leverage transformer-based architectures to predict s…
An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue
Koji Inoue, Divesh Lala, Mikey Elmers +2
Handling multi-party dialogues represents a significant step for advancing spoken dialogue systems, necessitating the development of tasks specific to multi-party interactions. To…
Analysis and Detection of Differences in Spoken User Behaviors between Autonomous and Wizard-of-Oz Systems
Mikey Elmers, Koji Inoue, Divesh Lala +2
This study examined users' behavioral differences in a large corpus of Japanese human-robot interactions, comparing interactions between a tele-operated robot and an autonomous dia…
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…