most citedBimodal Speech Emotion Recognition Using Pre-Trained Language Models

9 citations · 12 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2019

An Interactive Indoor Drone Assistant

Tino Fuhrman, David Schneider, Felix Altenberg +4

With the rapid advance of sophisticated control algorithms, the capabilities of drones to stabilise, fly and manoeuvre autonomously have dramatically improved, enabling us to pay g…

eess.AS20199 cited

Bimodal Speech Emotion Recognition Using Pre-Trained Language Models

Verena Heusser, Niklas Freymuth, Stefan Constantin +1

Speech emotion recognition is a challenging task and an important step towards more natural human-machine interaction. We show that pre-trained language models can be fine-tuned fo…

cs.CL20193 cited

Incremental processing of noisy user utterances in the spoken language understanding task

Stefan Constantin, Jan Niehues, Alex Waibel

The state-of-the-art neural network architectures make it possible to create spoken language understanding systems with high quality and fast processing time. One major challenge f…

cs.CL2018

Multi-task learning to improve natural language understanding

Stefan Constantin, Jan Niehues, Alex Waibel

Recently advancements in sequence-to-sequence neural network architectures have led to an improved natural language understanding. When building a neural network-based Natural Lang…

cs.CL2018

An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation

Stefan Constantin, Jan Niehues, Alex Waibel

Recently advancements in deep learning allowed the development of end-to-end trained goal-oriented dialog systems. Although these systems already achieve good performance, some sim…