Search Results for author:
Found 4 papers, 1 papers with code
Legal and Ethical Challenges in Recording Air Traffic Control Speech
In this paper the authors detail the various legal and ethical issues faced during the ATCO2 project.
Joint vs Sequential Speaker-Role Detection and Automatic Speech Recognition for Air-traffic Control
Utilizing air-traffic control (ATC) data for downstream natural-language processing tasks requires preprocessing steps.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
In this paper, we introduce the ATCO2 corpus, a dataset that aims at fostering research on the challenging ATC field, which has lagged behind due to lack of annotated data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Call-sign recognition and understanding for noisy air-traffic transcripts using surveillance information
The introduced data augmentation adds additional performance on high WER transcripts and allows the adaptation of the model to unseen airspaces.
