Exploring Semi-Supervised Learning for Predicting Listener Backchannels

6 January 2021

Papers citing "Exploring Semi-Supervised Learning for Predicting Listener Backchannels"

4 / 4 papers shown

Title
Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection K. Inoue Divesh Lala Gabriel Skantze Tatsuya Kawahara 23 1 0 21 Oct 2024
Robot Duck Debugging: Can Attentive Listening Improve Problem Solving? Maria Teresa Parreira Sarah Gillet Iolanda Leite 29 6 0 16 Jan 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 17 1 0 11 Dec 2022
TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening Zijian Ding Jiawen Kang HO TinkyOiTing Ka Ho WONG H. Fung Helen M. Meng Xiaojuan Ma 14 19 0 16 Feb 2022