9 citations · 16 across the 7 of their papers we have counts for
8 papers
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
Christian Huber, Tu Anh Dinh, Carlos Mullov +10
The challenge of low-latency speech translation has recently draw significant interest in the research community as shown by several publications and shared tasks. Therefore, it is…
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos
Alexander Waibel, Moritz Behr, Fevziye Irem Eyiokur +7
In this paper, we propose a neural end-to-end system for voice preserving, lip-synchronous translation of videos. The system is designed to combine multiple component models and pr…
Error correction and extraction in request dialogs
Stefan Constantin, Alex Waibel
We propose a dialog system utility component that gets the last two utterances of a user and can detect whether the last utterance is an error correction of the second last utteran…
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…
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…
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…
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…
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…