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Increasing ATM Efficiency with Assistant Based Speech Recognition

Helmke, Hartmut and Ohneiser, Oliver and Buxbaum, Jörg and Kern, Christian (2017) Increasing ATM Efficiency with Assistant Based Speech Recognition. In: Proceedings of the 12th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2017, pp. 1-10. Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM2017), 27.-30.06.2017, Seattle, Washington, USA.

Full text not available from this repository.

Abstract

Abstract—Initiatives to integrate Automatic Speech Recognition into Air Traffic Management (ATM) exists at least since the late 90s. Some success to replace pseudo pilots have been reported, but its integration into controller assistant tools is missing. German Aerospace Center (DLR) and Saarland University developed Assistant Based Speech Recognition (ABSR) enabling command recognition rates better than 95%. However, good recognition rates are no convincing argument for decision makers. Therefore, we conducted an ABSR validation study with eight air traffic controllers to quantify the benefits with respect to workload and efficiency. The study validates that ABSR does not just reduce controllers’ workload, which would already be a lot, but this paper presents that ABSR significantly increases ATM efficiency. Fuel reductions of 60 liters (16 gallons) per flight and a throughput increase by two arrivals per hour are possible.

Item URL in elib:https://elib.dlr.de/113110/
Document Type:Conference or Workshop Item (Speech)
Title:Increasing ATM Efficiency with Assistant Based Speech Recognition
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Helmke, Hartmuthartmut.helmke (at) dlr.deUNSPECIFIED
Ohneiser, Oliveroliver.ohneiser (at) dlr.dehttps://orcid.org/0000-0002-5411-691X
Buxbaum, JörgJoerg.Buxbaum (at) dfs.deUNSPECIFIED
Kern, ChristianChristian.Kern (at) austrocontrol.atUNSPECIFIED
Date:June 2017
Journal or Publication Title:Proceedings of the 12th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-10
Status:Published
Keywords:AcListant®, Automatic Speech Recognition (ASR), Assistant Based Speech Recognition (ABSR), ATM Efficiency, Electronic Flight Strips, Aircraft Label
Event Title:Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM2017)
Event Location:Seattle, Washington, USA
Event Type:international Conference
Event Dates:27.-30.06.2017
Organizer:The Federal Aviation Administration and EUROCONTROL
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:25 Sep 2017 12:17
Last Modified:14 May 2019 13:47

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