Search Results for author:
Found 6 papers, 1 papers with code
BUT Opensat 2019 Speech Recognition System
The paper describes the BUT Automatic Speech Recognition (ASR) systems submitted for OpenSAT evaluations under two domain categories such as low resourced languages and public safety communications.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
Results show that `unseen domains' (e. g. data from airports not present in the supervised training data) are further aided by contextual SSL when compared to standalone SSL.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
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.
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
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.
