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Safety Aspects of Supporting Apron Controllers with Automatic Speech Recognition and Understanding Integrated into an Advanced Surface Movement Guidance and Control System

Kleinert, Matthias and Ohneiser, Oliver and Helmke, Hartmut and Shetty, Shruthi and Ehr, Heiko and Maier, Mathias and Schacht, Susanne and Wiese, Hanno (2023) Safety Aspects of Supporting Apron Controllers with Automatic Speech Recognition and Understanding Integrated into an Advanced Surface Movement Guidance and Control System. Aerospace, 10 (7). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/aerospace10070596. ISSN 2226-4310.

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Official URL: https://www.mdpi.com/journal/aerospace

Abstract

The information air traffic controllers (ATCos) communicate via radio telephony is valuable for digital assistants to provide additional safety. Yet, ATCos have to enter this information manually. Assistant-based speech recognition (ABSR) has proven to be a lightweight technology that automatically extracts and successfully feeds the content of ATC communication into digital systems without additional human effort. This article explains how ABSR can be integrated into an advanced surface movement guidance and control system (A-SMGCS). The described validations were performed in the complex apron simulation training environment of Frankfurt Airport with 14 apron controllers in a human-in-the-loop simulation in summer 2022. The integration significantly reduces the workload of controllers and increases safety as well as overall performance. Based on a word error rate of 3.1%, the command recognition rate was 91.8% with a callsign recognition rate of 97.4%. This performance was enabled by the integration of A-SMGCS and ABSR: the command recognition rate improves by more than 15% absolute by considering A-SMGCS data in ABSR.

Item URL in elib:https://elib.dlr.de/195887/
Document Type:Article
Title:Safety Aspects of Supporting Apron Controllers with Automatic Speech Recognition and Understanding Integrated into an Advanced Surface Movement Guidance and Control System
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kleinert, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0002-0782-4147UNSPECIFIED
Ohneiser, OliverUNSPECIFIEDhttps://orcid.org/0000-0002-5411-691XUNSPECIFIED
Helmke, HartmutUNSPECIFIEDhttps://orcid.org/0000-0002-1939-0200UNSPECIFIED
Shetty, ShruthiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ehr, HeikoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Maier, MathiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schacht, SusanneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wiese, HannoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:30 June 2023
Journal or Publication Title:Aerospace
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI:10.3390/aerospace10070596
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue Automatic Speech Recognition and Understanding in Air Traffic Management
ISSN:2226-4310
Status:Published
Keywords:air traffic controller; simulation pilot; workload; assistant-based speech recognition; automatic speech recognition and understanding; apron control; STARFiSH
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - Managementaufgaben Luftfahrt
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:10 Aug 2023 10:49
Last Modified:28 Nov 2023 13:06

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