14 citations · 44 across the 13 of their papers we have counts for
7 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…
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks
Esaú Villatoro-Tello, Srikanth Madikeri, Juan Zuluaga-Gomez +6
In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup. We benc…
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…
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…
Improving callsign recognition with air-surveillance data in air-traffic communication
Iuliia Nigmatulina, Rudolf Braun, Juan Zuluaga-Gomez +1
Automatic Speech Recognition (ASR) can be used as the assistance of speech communication between pilots and air-traffic controllers. Its application can significantly reduce the co…
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition
Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlicek +4
Automatic Speech Recognition (ASR) for air traffic control is generally trained by pooling Air Traffic Controller (ATCO) and pilot data into one set. This is motivated by the fact…
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad +4
Air traffic management and specifically air-traffic control (ATC) rely mostly on voice communications between Air Traffic Controllers (ATCos) and pilots. In most cases, these voice…