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 …

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

In air traffic control (ATC), speech communication with radio transmission is the primary way
to exchange information between the controller and the pilot. As a result, the integration of …

This paper describes a simple yet efficient repetition-based modular system for speeding up
air-traffic controllers (ATCos) training. Eg, a human pilot is still required in EUROCONTROL's …

Transformer neural networks have shown remarkable success on standard automatic
speech recognition (ASR) benchmarks. However, they are known to be less robust against …

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 that pilot's …