Helmke, Hartmut and Slotty, Michael and Poiger, Michael and Ferrer Herrer, Damián and Ohneiser, Oliver and Vink, Nathan and Cerna, Aneta and et al., et al (2018) Ontology for Transcription of ATC Speech Commands of SESAR 2020 Solution PJ.16-04. 37th AIAA/IEEE Digital Avionics Systems Conference (DASC), 2018-09-23 - 2018-09-27, London, UK. doi: 10.1109/DASC.2018.8569238.
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Abstract
Nowadays Automatic Speech Recognition (ASR) applications are increasingly successful in the air traffic (ATC) domain. Paramount to achieving this is collecting enough data for speech recognition model training. Thousands of hours of ATC communication are recorded every day. However, the transcription of these data sets is resource intense, i.e. writing down the sequence of spoken words, and more importantly, interpreting the relevant semantics. Many different approaches including CPDLC (Controller Pilot Data Link Communications) currently exist in the ATC community for command transcription, a fact that e.g. complicates exchange of transcriptions. The partners of the SESAR funded solution PJ.16-04 are currently developing on a common ontology for transcription of controller-pilot communications, which will harmonize integration of ASR into controller working positions. The resulting ontology is presented in this paper.
Item URL in elib: | https://elib.dlr.de/123237/ | ||||||||||||||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||||||||||||||
Title: | Ontology for Transcription of ATC Speech Commands of SESAR 2020 Solution PJ.16-04 | ||||||||||||||||||||||||||||||||||||
Authors: |
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Date: | September 2018 | ||||||||||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||||||
DOI: | 10.1109/DASC.2018.8569238 | ||||||||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||||||||
Keywords: | Automatic Speech Recognition (ASR); CWP HMI; Transcription; Controller Command; Ontology; SESAR; PJ.16-04 | ||||||||||||||||||||||||||||||||||||
Event Title: | 37th AIAA/IEEE Digital Avionics Systems Conference (DASC) | ||||||||||||||||||||||||||||||||||||
Event Location: | London, UK | ||||||||||||||||||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||||||||||||||||||
Event Start Date: | 23 September 2018 | ||||||||||||||||||||||||||||||||||||
Event End Date: | 27 September 2018 | ||||||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||||||
HGF - Program: | Aeronautics | ||||||||||||||||||||||||||||||||||||
HGF - Program Themes: | air traffic management and operations | ||||||||||||||||||||||||||||||||||||
DLR - Research area: | Aeronautics | ||||||||||||||||||||||||||||||||||||
DLR - Program: | L AO - Air Traffic Management and Operation | ||||||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | L - Efficient Flight Guidance (old) | ||||||||||||||||||||||||||||||||||||
Location: | Braunschweig | ||||||||||||||||||||||||||||||||||||
Institutes and Institutions: | Institute of Flight Guidance > Controller Assistance | ||||||||||||||||||||||||||||||||||||
Deposited By: | Diederich, Kerstin | ||||||||||||||||||||||||||||||||||||
Deposited On: | 26 Nov 2018 14:38 | ||||||||||||||||||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:27 |
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