In air traffic control (ATC), speech communication with radio transmission is the primary way
to exchange information between the controller and aircrew. A wealth of contextual …

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) …

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 …

In this work, the primary focus is to identify potential technical risks of Artificial Intelligence
(AI)-driven operations for the safety monitoring of the air traffic from the perspective of …

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 …

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 …