Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue

18 April 2022

Papers citing "Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue"

8 / 8 papers shown

Title
Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals Yuxin Lin Yinglin Zheng Ming Zeng Wangzheng Shi 114 0 0 19 May 2025
A Noise-Robust Turn-Taking System for Real-World Dialogue Robots: A Field Experiment K. Inoue Yuki Okafuji Jun Baba Yoshiki Ohira Katsuya Hyodo Tatsuya Kawahara 70 0 0 08 Mar 2025
EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild Junhyeok Kim Min Soo Kim Jiwan Chung Jungbin Cho Jisoo Kim Sungwoong Kim Gyeongbo Sim Youngjae Yu EgoV 79 1 0 17 Feb 2025
Applying General Turn-taking Models to Conversational Human-Robot Interaction Gabriel Skantze Bahar Irfan 105 3 0 15 Jan 2025
Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion Jinhan Wang Long Chen Aparna Khare A. Raju Pranav Dheram Di He Minhua Wu A. Stolcke Venkatesh Ravichandran 51 11 0 26 Jan 2024
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models Yufei Li Zexin Li Wei Yang Cong Liu 61 8 0 12 Sep 2023
Transformers in Speech Processing: A Survey S. Latif Aun Zaidi Heriberto Cuayáhuitl Fahad Shamshad Moazzam Shoukat Muhammad Usama Junaid Qadir 167 48 0 21 Mar 2023
AliCHI: A Large-scale Multi-modal Dataset and Automated Evaluation Tool for Human-like Dialogue Systems Zhiling Luo Qiankun Shi Shan Zhao Wei Zhou Haiqing Chen Yuankai Ma Haitao Leng CVBM 44 1 0 11 Dec 2022