no code implementations • 10 Apr 2023 • Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu
This paper presents our latest investigation on modeling backchannel in conversations.
no code implementations • 10 Apr 2023 • Daniel Ortega, Sarina Meyer, Antje Schweitzer, Ngoc Thang Vu
We present our latest findings on backchannel modeling novelly motivated by the canonical use of the minimal responses Yeah and Uh-huh in English and their correspondent tokens in German, and the effect of encoding the speaker-listener interaction.
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 • ACL 2019 • Daniel Ortega, Dirk V{\"a}th, Gianna Weber, V, Lindsey erlyn, Maximilian Schmidt, Moritz V{\"o}lkel, Zorica Karacevic, Ngoc Thang Vu
In this paper, we present ADVISER - an open source dialog system framework for education and research purposes.
no code implementations • 28 Feb 2019 • Daniel Ortega, Chia-Yu Li, Gisela Vallejo, Pavel Denisov, Ngoc Thang Vu
This paper presents our latest investigations on dialog act (DA) classification on automatically generated transcriptions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 2 Mar 2018 • Daniel Ortega, Ngoc Thang Vu
We propose a neural model that processes both lexical and acoustic features for classification.
no code implementations • WS 2017 • Daniel Ortega, Ngoc Thang Vu
We explore context representation learning methods in neural-based models for dialog act classification.