Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1706.01340
Cited By
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor
2 June 2017
Robin Ruede
Markus Müller
Sebastian Stüker
A. Waibel
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor"
6 / 6 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
69
3
0
21 Oct 2024
Robot Duck Debugging: Can Attentive Listening Improve Problem Solving?
Maria Teresa Parreira
Sarah Gillet
Iolanda Leite
67
6
0
16 Jan 2023
MultiMediate '22: Backchannel Detection and Agreement Estimation in Group Interactions
Philippe Muller
Michael Dietz
Dominik Schiller
Dominike Thomas
Hali Lindsay
Patrick Gebhard
Elisabeth André
Andreas Bulling
88
10
0
20 Sep 2022
When can I Speak? Predicting initiation points for spoken dialogue agents
Siyan Li
Ashwin Paranjape
Christopher D. Manning
70
6
0
07 Aug 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
138
21
0
16 Feb 2022
Exploring Semi-Supervised Learning for Predicting Listener Backchannels
Vidit Jain
Maitree Leekha
R. Shah
Jainendra Shukla
63
19
0
06 Jan 2021
1