activity
20242026
most citedTriadic Multi-party Voice Activity Projection for Turn-taking in Spoken Dialogue Systems

2 citations · 2 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2026

TEIDAN: A Multilingual Multiparty Dialogue Corpus

Taiga Mori, Koji Inoue, Mikey Elmers +2

Multi-party interaction is a central setting for human communication and a necessary target for human-agent interaction systems that must participate in group conversation. Yet ava…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025★ 2 cited

Triadic Multi-party Voice Activity Projection for Turn-taking in Spoken Dialogue Systems

Mikey Elmers, Koji Inoue, Divesh Lala +1

Turn-taking is a fundamental component of spoken dialogue, however conventional studies mostly involve dyadic settings. This work focuses on applying voice activity projection (VAP…

cs.RO2025

Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?

Zi Haur Pang, Yahui Fu, Divesh Lala +3

We investigate the impact of robot appearance on users' spoken behavior during real-world interactions by comparing a human-like android, ERICA, with a less anthropomorphic humanoi…

cs.CL2025

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…

cs.CL2025

Why Do We Laugh? Annotation and Taxonomy Generation for Laughable Contexts in Spontaneous Text Conversation

Koji Inoue, Mikey Elmers, Divesh Lala +1

Laughter serves as a multifaceted communicative signal in human interaction, yet its identification within dialogue presents a significant challenge for conversational AI systems.…

cs.CL2024

Human-Like Embodied AI Interviewer: Employing Android ERICA in Real International Conference

Zi Haur Pang, Yahui Fu, Divesh Lala +3

This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conv…

cs.CL2024

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…