Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions

10 April 2023

Papers citing "Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions"

8 / 8 papers shown

Title
Conversational Rubert for Detecting Competitive Interruptions in ASR-Transcribed Dialogues Dmitrii Galimzianov Viacheslav Vyshegorodtsev 34 0 0 20 Jul 2024
Joint Learning of Context and Feedback Embeddings in Spoken Dialogue Livia Qian Gabriel Skantze 31 0 0 11 Jun 2024
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 27 7 0 26 Jan 2024
Modeling Speaker-Listener Interaction for Backchannel Prediction Daniel Ortega Sarina Meyer Antje Schweitzer Ngoc Thang Vu 24 2 0 10 Apr 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 43 10 0 20 Sep 2022
Didn't see that coming: a survey on non-verbal social human behavior forecasting Germán Barquero Johnny Núnez Sergio Escalera Zhen Xu Wei-Wei Tu Isabelle M Guyon Cristina Palmero AI4TS 34 21 0 04 Mar 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 22 19 0 16 Feb 2022
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents Chia-Yu Li Daniel Ortega Dirk Vath Florian Lux Lindsey Vanderlyn ... Moritz Volkel Pavel Denisov Sabrina Jenne Zorica Kacarevic Ngoc Thang Vu 24 8 0 04 May 2020