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Apron Controller Support by Integration of Automatic Speech Recognition with an Advanced Surface Movement Guidance and Control System

Kleinert, Matthias and Shetty, Shruthi and Helmke, Hartmut and Ohneiser, Oliver and Wiese, Hanno and Maier, Mathias and Schacht, Susanne and Nigmatulina, Iuliia and Sarfjoo, Seyyed Saeed and Motlicek, Petr (2022) Apron Controller Support by Integration of Automatic Speech Recognition with an Advanced Surface Movement Guidance and Control System. In: SESAR Innovation Days 2022. 12th SESAR Innovation Days, 2022-12-05 - 2022-12-08, Budapest, Ungarn.

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Abstract

Digital assistants in air traffic control today have access to a large number of sensors that allow monitoring of traffic in the air and on the ground. Voice communication between air traffic controller and pilot, however, is not used by these assistants. Whenever the information from voice communication has to be digitized, controllers are burdened to enter the information manually. Research shows that up to one third of controllers working time is spent on these manual inputs. Assistant Based Speech Recognition (ABSR) has already shown that it can reduce the amount of manual inputs from controllers. This paper presents how a modern digital assistant, a so-called A-SMGCS, can utilize the outputs of ABSR. The combined application is installed in the complex apron simulation training environment of the Frankfurt airport. This allows on the one hand the integration of recognized controller commands into the A-SMGCS planning process. On the other hand, ABSR performance is improved through the usage of A-SMGCS information. The implemented ABSR system alone reaches Word Error Rates of 3.1% for the text recognition process, which results in a callsign recognition rate of 97.4% and a command recognition rate of 91.8%. The integration of ABSR in the A-SMGCS brings a reduction of workload for controllers, which increases the overall performance and safety.

Item URL in elib:https://elib.dlr.de/191009/
Document Type:Conference or Workshop Item (Speech)
Title:Apron Controller Support by Integration of Automatic Speech Recognition with 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
Shetty, ShruthiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Helmke, HartmutUNSPECIFIEDhttps://orcid.org/0000-0002-1939-0200UNSPECIFIED
Ohneiser, OliverUNSPECIFIEDhttps://orcid.org/0000-0002-5411-691XUNSPECIFIED
Wiese, HannoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Maier, MathiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schacht, SusanneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nigmatulina, IuliiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sarfjoo, Seyyed SaeedUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Motlicek, PetrUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2022
Journal or Publication Title:SESAR Innovation Days 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Assistant Based Speech Recognition; Speech Understanding; A-SMGCS; STARFiSH
Event Title:12th SESAR Innovation Days
Event Location:Budapest, Ungarn
Event Type:international Conference
Event Start Date:5 December 2022
Event End Date:8 December 2022
Organizer:Sesar Joint Undertaking
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Integrated Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:12 Dec 2022 09:41
Last Modified:24 Apr 2024 20:52

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