14 citations · 33 across the 10 of their papers we have counts for
4 papers · 1 filter
Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator
Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlicek +3
This paper describes a simple yet efficient repetition-based modular system for speeding up air-traffic controllers (ATCos) training. E.g., a human pilot is still required in EUROC…
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Juan Zuluaga-Gomez, Karel Veselý, Igor Szöke +13
Personal assistants, automatic speech recognizers and dialogue understanding systems are becoming more critical in our interconnected digital world. A clear example is air traffic…
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina +6
Recent work on self-supervised pre-training focus on leveraging large-scale unlabeled speech data to build robust end-to-end (E2E) acoustic models (AM) that can be later fine-tuned…
A two-step approach to leverage contextual data: speech recognition in air-traffic communications
Iuliia Nigmatulina, Juan Zuluaga-Gomez, Amrutha Prasad +2
Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and in…