14 citations · 33 across the 10 of their papers we have counts for
10 papers
Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding
Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad +8
Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). This task requires high levels of awar…
A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers
Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina +2
In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelli…
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…
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications
Juan Zuluaga-Gomez, Seyyed Saeed Sarfjoo, Amrutha Prasad +5
Automatic speech recognition (ASR) allows transcribing the communications between air traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract…
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…
Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework
Amrutha Prasad, Petr Motlicek, Srikanth Madikeri
State-of-the-art hybrid automatic speech recognition (ASR) system exploits deep neural network (DNN) based acoustic models (AM) trained with Lattice Free-Maximum Mutual Information…