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Reducing Controller Workload with Automatic Speech Recognition

Helmke, Hartmut and Ohneiser, Oliver and Mühlhausen, Thorsten and Wies, Matthias (2016) Reducing Controller Workload with Automatic Speech Recognition. In: DASC 2016 35th Digital Avionics Systems Conference, pp. 1-10. 35th Digital Avionics Systems Conference DASC 2016, 2016-09-25 - 2016-09-29, Sacramento, USA. doi: 10.1109/DASC.2016.7778024.

Full text not available from this repository.

Abstract

Air traffic controllers normally manage all aircraft information with flight strips. These strips contain static information about each flight such as call sign or weight category. Additionally, all clearances regarding altitude, speed, and direction are noted by the controller. Historically paper flight strips were in operation, but modern controller working positions use electronic flight strips or electronic aircraft labels. However, independent from the type, considerable Controller effort is needed to manually maintain strip Information consistent with commands given to the aircraft. Automatic Speech Recognition (ASR) is a solution which requires no additional work from the controller to maintain radar label information. The Assistant Based Speech Recognizer developed by DLR and Saarland University enables command error rates below 2%. Validation trials with controllers from Germany and Austria showed that workload reduction by a factor of three for label maintenance is possible.

Item URL in elib:https://elib.dlr.de/105778/
Document Type:Conference or Workshop Item (Speech)
Title:Reducing Controller Workload with Automatic Speech Recognition
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Helmke, HartmutUNSPECIFIEDhttps://orcid.org/0000-0002-1939-0200UNSPECIFIED
Ohneiser, OliverUNSPECIFIEDhttps://orcid.org/0000-0002-5411-691XUNSPECIFIED
Mühlhausen, ThorstenUNSPECIFIEDhttps://orcid.org/0000-0002-5901-7275UNSPECIFIED
Wies, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0001-6514-3211UNSPECIFIED
Date:2016
Journal or Publication Title:DASC 2016 35th Digital Avionics Systems Conference
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/DASC.2016.7778024
Page Range:pp. 1-10
Status:Published
Keywords:Controller Assistance; Speech Recognition; Workload; Aircraft Radar Label Maintenance
Event Title:35th Digital Avionics Systems Conference DASC 2016
Event Location:Sacramento, USA
Event Type:international Conference
Event Start Date:25 September 2016
Event End Date:29 September 2016
Organizer:IEEE Aerospace Electronics Systems Society and the AIAA Digital Avionics Technical Committee
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:01 Sep 2016 10:56
Last Modified:24 Apr 2024 20:10

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