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Ontology for Transcription of ATC Speech Commands of SESAR 2020 Solution PJ.16-04

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), 23.-27. Sept. 2018, London, UK.

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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/
Document Type:Conference or Workshop Item (Speech)
Title:Ontology for Transcription of ATC Speech Commands of SESAR 2020 Solution PJ.16-04
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Helmke, HartmutHartmut.Helmke (at) dlr.deUNSPECIFIED
Slotty, MichaelMichael.Slotty (at) dfs.deUNSPECIFIED
Poiger, MichaelMichael.Poiger (at) frequentis.comUNSPECIFIED
Ferrer Herrer, Damiándfherrer (at) e-crida.enaire.esUNSPECIFIED
Ohneiser, OliverOliver.Ohneiser (at) dlr.dehttps://orcid.org/0000-0002-5411-691X
Vink, NathanNathan.Vinkqnats.co.ukUNSPECIFIED
Cerna, AnetaAneta.Cerna (at) ans.czUNSPECIFIED
et al., et alUNSPECIFIEDUNSPECIFIED
Date:September 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
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 Dates:23.-27. Sept. 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
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:26 Nov 2018 14:38
Last Modified:31 Jul 2019 20:20

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