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) …

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 …

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

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) can be used as the assistance of speech
communication between pilots and air-traffic controllers. Its application can significantly …

Recognizing isolated digits of the flight callsign is an important and challenging task for
automatic speech recognition (ASR) in air traffic control (ATC). Fortunately, the flight callsign …

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 …