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 …

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 …

Personal assistants, automatic speech recognizers and dialogue understanding systems are
becoming more critical in our interconnected digital world. A clear example is air traffic …

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) …

(ATCo) is to evaluate pilot readbacks and to react in case of errors. Undetected readback
errors, when not corrected by the ATCo, can have a dramatic impact on air traffic …

The information air traffic controllers (ATCos) communicate via radio telephony is valuable
for digital assistants to provide additional safety. Yet, ATCos have to enter this information …

Automatic speech recognition (ASR) allows transcribing the communications between air
traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC …

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 …

In air traffic management (ATM), voice communications are critical for ensuring the safe and
efficient operation of aircraft. The pertinent voice communications—air traffic controller …

Transfer learning from large multilingual pretrained models, like XLSR, has become the new
paradigm for Automatic Speech Recognition (ASR). Considering their ever-increasing size …