[HTML][HTML] Lessons learned in transcribing 5000 h of air traffic control communications for robust automatic speech understanding

J Zuluaga-Gomez, I Nigmatulina, A Prasad, P Motlicek… - Aerospace, 2023 - mdpi.com
Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring
safe and efficient air traffic control (ATC). The handling of these voice communications …

Atco2 corpus: A large-scale dataset for research on automatic speech recognition and natural language understanding of air traffic control communications

J Zuluaga-Gomez, K Veselý, I Szöke, A Blatt… - arXiv preprint arXiv …, 2022 - arxiv.org
Personal assistants, automatic speech recognizers and dialogue understanding systems are
becoming more critical in our interconnected digital world. A clear example is air traffic …

Wav2vec2-based paralinguistic systems to recognise vocalised emotions and stuttering

T Grósz, D Porjazovski, Y Getman, S Kadiri… - Proceedings of the 30th …, 2022 - dl.acm.org
With the rapid advancement in automatic speech recognition and natural language
understanding, a complementary field (paralinguistics) emerged, focusing on the non-verbal …

[HTML][HTML] A virtual simulation-pilot agent for training of air traffic controllers

J Zuluaga-Gomez, A Prasad, I Nigmatulina, P Motlicek… - Aerospace, 2023 - mdpi.com
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 intelligence (AI) …

Automatic speech recognition and understanding for radar label maintenance support increases safety and reduces air traffic controllers' workload

H Helmke, M Kleinert, N Ahrenhold, H Ehr… - Fifteenth USA/Europe …, 2023 - elib.dlr.de
Air traffic controllers (ATCos) from Austro Control together with DLR quantified the benefits of
automatic speech recognition and understanding (ASRU) on workload and flight safety. As …

Fine-tuning strategies for faster inference using speech self-supervised models: a comparative study

S Zaiem, R Algayres, T Parcollet… - … , Speech, and Signal …, 2023 - ieeexplore.ieee.org
Self-supervised learning (SSL) has allowed substantial progress in Automatic Speech
Recognition (ASR) performance in low-resource settings. In this context, it has been …

Bertraffic: Bert-based joint speaker role and speaker change detection for air traffic control communications

J Zuluaga-Gomez, SS Sarfjoo, A Prasad… - 2022 IEEE Spoken …, 2023 - ieeexplore.ieee.org
Automatic speech recognition (ASR) allows transcribing the communications between air
traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC …

Utilizing wav2vec in database-independent voice disorder detection

S Tirronen, F Javanmardi, M Kodali… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Automatic detection of voice disorders from acoustic speech signals can help to improve
reliability of medical diagnosis. However, the real-life environment in which speech signals …

Global performance disparities between English-language accents in automatic speech recognition

A DiChristofano, H Shuster, S Chandra… - arXiv preprint arXiv …, 2022 - arxiv.org
Past research has identified discriminatory automatic speech recognition (ASR)
performance as a function of the racial group and nationality of the speaker. In this paper, we …

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding

J Zuluaga-Gomez, I Nigmatulina, A Prasad… - arXiv preprint arXiv …, 2023 - arxiv.org
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 awareness from …