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Adaptation of Assistant Based Speech Recognition to New Domains and its Acceptance by Air Traffic Controllers

Kleinert, Matthias and Helmke, Hartmut and Siol, Gerald and Ehr, Heiko and Klakow, Dietrich and Singh, Mittul and Motlice, Petr and Kern, Christian and Cerna, Aneta and Hlousek, Petr (2019) Adaptation of Assistant Based Speech Recognition to New Domains and its Acceptance by Air Traffic Controllers. In: Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2019) (ISI/SCOPUS). Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2019), 07. - 10. Feb. 2019, San Diego, Kalifornien, USA.

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Abstract

In air traffic control rooms, paper flight strips are more and more replaced by digital solutions. The digital systems, however, increase the workload for air traffic controllers: For instance, each voice-command must be manually inserted into the system by the controller. Recently the AcListant® project has validated that Assistant Based Speech Recognition (ABSR) can replace the manual inputs by automatically recognized voice commands. Adaptation of ABSR to different environments, however, has shown to be expensive. The Horizon 2020 funded project MALORCA MAchine Learning Of Speech Recognition Models for Controller Assistance), proposed a more effective adaptation solution integrating a machine learning Framework. As a first showcase, ABSR was automatically adapted with radar data and voice recordings for Prague and Vienna. The system reaches command recognition error rates of 0.6% (Prague) resp. 3.2% (Vienna). This paper describes the feedback trials with controllers from Vienna and Prague.

Item URL in elib:https://elib.dlr.de/123251/
Document Type:Conference or Workshop Item (Speech)
Title:Adaptation of Assistant Based Speech Recognition to New Domains and its Acceptance by Air Traffic Controllers
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kleinert, MatthiasMatthias.Kleinert (at) dlr.deUNSPECIFIED
Helmke, HartmutHartmut.Helmke (at) dlr.deUNSPECIFIED
Siol, GeraldGerald.Siol (at) dlr.deUNSPECIFIED
Ehr, HeikoHeiko.Ehr (at) dlr.deUNSPECIFIED
Klakow, Dietrichdietrich.klakow (at) lsv.uni-saarland.deUNSPECIFIED
Singh, Mittulmittul.singh (at) lsv.uni-saarland.deUNSPECIFIED
Motlice, Petrpetr.motlicek (at) idiap.chUNSPECIFIED
Kern, ChristianChristian.Kern (at) austrocontrol.atUNSPECIFIED
Cerna, AnetaAneta.Cerna (at) ans.czUNSPECIFIED
Hlousek, PetrPetr.Hlousek (at) ans.czUNSPECIFIED
Date:2019
Journal or Publication Title:Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2019) (ISI/SCOPUS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine Learning, Assistant Based Speech Recognition, Automatic Speech Recognition, Air Traffic Controller
Event Title:Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2019)
Event Location:San Diego, Kalifornien, USA
Event Type:international Conference
Event Dates:07. - 10. Feb. 2019
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 Guidance > Controller Assistance
Deposited By: Kleinert, Matthias
Deposited On:05 Jun 2019 10:49
Last Modified:21 Nov 2019 09:31

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