no code implementations • CoNLL (EMNLP) 2021 • Lindsey Vanderlyn, Gianna Weber, Michael Neumann, Dirk Väth, Sarina Meyer, Ngoc Thang Vu
Based on statistical and qualitative analysis of the responses, we found language style played an important role in how human-like participants perceived a dialog agent as well as how likable.
no code implementations • 15 Apr 2021 • Michael Neumann, Oliver Roesler, Jackson Liscombe, Hardik Kothare, David Suendermann-Oeft, David Pautler, Indu Navar, Aria Anvar, Jochen Kumm, Raquel Norel, Ernest Fraenkel, Alexander V. Sherman, James D. Berry, Gary L. Pattee, Jun Wang, Jordan R. Green, Vikram Ramanarayanan
Our results provide encouraging evidence of the utility of automatically extracted audiovisual analytics for scalable remote patient assessment and monitoring in ALS.
no code implementations • 2 Mar 2021 • Michael Neumann, Ngoc Thang Vu
In this paper we explore audiovisual emotion recognition under noisy acoustic conditions with a focus on speech features.
no code implementations • 8 Dec 2020 • Michael Neumann, Sebastian Koralewski, Michael Beetz
We show the capabilities of URoboSim in form of mental simulations, generating data for machine learning and the usage as belief state for a real robot.
no code implementations • WS 2020 • Michael Neumann, Oliver Roessler, David Suendermann-Oeft, Vikram Ramanarayanan
We investigate the utility of audiovisual dialog systems combined with speech and video analytics for real-time remote monitoring of depression at scale in uncontrolled environment settings.
1 code implementation • ACL 2020 • Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu
We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e. g. emotion recognition, engagement level prediction and backchanneling) conversational agents.
no code implementations • 1 Mar 2018 • Michael Neumann, Ngoc Thang Vu
Research on multilingual speech emotion recognition faces the problem that most available speech corpora differ from each other in important ways, such as annotation methods or interaction scenarios.
no code implementations • 2 Jun 2017 • Michael Neumann, Ngoc Thang Vu
Speech emotion recognition is an important and challenging task in the realm of human-computer interaction.