2 citations · 2 across the 7 of their papers we have counts for
6 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…
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…
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…
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…
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.…