Spoken instruction understanding in air traffic control: Challenge, technique, and application
Y Lin - Aerospace, 2021 - mdpi.com
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 …
to exchange information between the controller and aircrew. A wealth of contextual …
Lessons learned in transcribing 5000 h of air traffic control communications for robust automatic speech understanding
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 …
safe and efficient air traffic control (ATC). The handling of these voice communications …
How does pre-trained wav2vec 2.0 perform on domain-shifted asr? an extensive benchmark on air traffic control 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 …
speech data to build robust end-to-end (E2E) acoustic models (AM) that can be later fine …
Atco2 corpus: A large-scale dataset for research on automatic speech recognition and natural language understanding of air traffic control communications
Personal assistants, automatic speech recognizers and dialogue understanding systems are
becoming more critical in our interconnected digital world. A clear example is air traffic …
becoming more critical in our interconnected digital world. A clear example is air traffic …
A virtual simulation-pilot agent for training of air traffic controllers
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) …
controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI) …
Automatic call sign detection: Matching air surveillance data with air traffic spoken communications
Voice communication is the main channel to exchange information between pilots and Air-
Traffic Controllers (ATCos). Recently, several projects have explored the employment of …
Traffic Controllers (ATCos). Recently, several projects have explored the employment of …
Automatic speech recognition benchmark for air-traffic communications
Advances in Automatic Speech Recognition (ASR) over the last decade opened new areas
of speech-based automation such as in Air-Traffic Control (ATC) environment. Currently …
of speech-based automation such as in Air-Traffic Control (ATC) environment. Currently …
Contextual semi-supervised learning: An approach to leverage air-surveillance and untranscribed ATC data in ASR systems
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 …
communications between Air Traffic Controllers (ATCos) and pilots. In most cases, these …
Bertraffic: Bert-based joint speaker role and speaker change detection for air traffic control communications
Automatic speech recognition (ASR) allows transcribing the communications between air
traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC …
traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC …
[PDF][PDF] Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition.
Contextual adaptation of ASR can be very beneficial for multiaccent and often noisy Air-
Traffic Control (ATC) speech. Our focus is call-sign recognition, which can be used to track …
Traffic Control (ATC) speech. Our focus is call-sign recognition, which can be used to track …