Chen, Shuo und Helmke, Hartmut und Tarakan, Robert M. und Ohneiser, Oliver und Kopald, Hunter und Kleinert, Matthias (2023) Effects of Language Ontology on Transatlantic Automatic Speech Understanding Research Collaboration in the Air Traffic Management Domain. Aerospace, 10 (526), Seiten 1-29. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/aerospace10060526. ISSN 2226-4310.
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Offizielle URL: https://www.mdpi.com/journal/aerospace
Kurzfassung
As researchers around the globe develop applications for the use of Automatic Speech Recognition and Understanding (ASRU) in the Air Traffic Management (ATM) domain, Air Traffic Control (ATC) language ontologies will play a critical role in enabling research collaboration. The MITRE Corporation (MITRE) and the German Aerospace Center (DLR), having independently developed ATC language ontologies for specific applications, recently compared these ontologies to identify opportunities for improvement and harmonization. This paper extends the topic in two ways. First, this paper describes the specific ways in which ontologies facilitate the sharing of and collaboration on data, models, algorithms, metrics, and applications in the ATM domain. Second, this paper provides comparative analysis of word frequencies in ATC speech in the United States and Europe to illustrate that, whereas methods and tools for evaluating ASRU applications can be shared across researchers, the specific models would not work well between regions due to differences in the underlying corpus data.
elib-URL des Eintrags: | https://elib.dlr.de/195501/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | Effects of Language Ontology on Transatlantic Automatic Speech Understanding Research Collaboration in the Air Traffic Management Domain | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2 Juni 2023 | ||||||||||||||||||||||||||||
Erschienen in: | Aerospace | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
Band: | 10 | ||||||||||||||||||||||||||||
DOI: | 10.3390/aerospace10060526 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 1-29 | ||||||||||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||||||||||
Name der Reihe: | Special Issue Automatic Speech Recognition and Understanding in Air Traffic Management | ||||||||||||||||||||||||||||
ISSN: | 2226-4310 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | automatic speech recognition; natural language understanding; semantic interpretation; air traffic control; radio communications; intent representation; semantic ontology; performance metrics | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Luftverkehr und Auswirkungen | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | L AI - Luftverkehr und Auswirkungen | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Integrierte Flugführung | ||||||||||||||||||||||||||||
Standort: | Braunschweig | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Flugführung > Lotsenassistenz | ||||||||||||||||||||||||||||
Hinterlegt von: | Diederich, Kerstin | ||||||||||||||||||||||||||||
Hinterlegt am: | 09 Aug 2023 13:20 | ||||||||||||||||||||||||||||
Letzte Änderung: | 28 Nov 2023 13:02 |
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